{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/abigailpost/Dropbox/Dropbox_UVA/Hand-Tying and Muscle-Flexing/ISQ Final materials/Post-Sechser-ISQ2023.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 7 Dec 2023, 12:00:12

{com}. do "/Users/abigailpost/Dropbox/Dropbox_UVA/Hand-Tying and Muscle-Flexing/ISQ Final materials/Post-Sechser_ISQ2023.do"
{txt}
{com}. set more off
{txt}
{com}. clear
{txt}
{com}. use Post-Sechser-ISQ2023.dta
{txt}
{com}. 
. 
. ********** TABLE 1: Military Hand-tying ********** 
. 
. * Logit models
. eststo M1: logit success i.military_signal, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res:-152.54346}  
Iteration 2:{space 3}log pseudolikelihood = {res: -152.3968}  
Iteration 3:{space 3}log pseudolikelihood = {res:-152.39659}  
Iteration 4:{space 3}log pseudolikelihood = {res:-152.39659}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}1{txt}){col 67}= {res}     23.06
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-152.39659{txt}{col 49}Pseudo R2{col 67}= {res}    0.0798

{txt}{ralign 83:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}          success{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.military_signal {c |}{col 19}{res}{space 2} 1.781607{col 31}{space 2} .3709753{col 42}{space 1}    4.80{col 51}{space 3}0.000{col 59}{space 4} 1.054509{col 72}{space 3} 2.508705
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-1.694596{col 31}{space 2} .3514861{col 42}{space 1}   -4.82{col 51}{space 3}0.000{col 59}{space 4}-2.383496{col 72}{space 3}-1.005696
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M3: logit success i.military_signal i.democpolity_a i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res:-133.89659}  
Iteration 2:{space 3}log pseudolikelihood = {res:-133.64717}  
Iteration 3:{space 3}log pseudolikelihood = {res:-133.64686}  
Iteration 4:{space 3}log pseudolikelihood = {res:-133.64686}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}     47.74
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-133.64686{txt}{col 49}Pseudo R2{col 67}= {res}    0.1930

{txt}{ralign 83:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}          success{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.military_signal {c |}{col 19}{res}{space 2} 2.116847{col 31}{space 2} .4332257{col 42}{space 1}    4.89{col 51}{space 3}0.000{col 59}{space 4}  1.26774{col 72}{space 3} 2.965954
{txt}{space 2}1.democpolity_a {c |}{col 19}{res}{space 2}-.1991399{col 31}{space 2} .4083828{col 42}{space 1}   -0.49{col 51}{space 3}0.626{col 59}{space 4}-.9995554{col 72}{space 3} .6012757
{txt}{space 2}1.democpolity_b {c |}{col 19}{res}{space 2}  1.13522{col 31}{space 2} .4068352{col 42}{space 1}    2.79{col 51}{space 3}0.005{col 59}{space 4}  .337838{col 72}{space 3} 1.932603
{txt}{space 6}theta2_mean {c |}{col 19}{res}{space 2}-.4104901{col 31}{space 2} .2509547{col 42}{space 1}   -1.64{col 51}{space 3}0.102{col 59}{space 4}-.9023524{col 72}{space 3} .0813721
{txt}{space 4}capshare_a_ks {c |}{col 19}{res}{space 2}-.6742009{col 31}{space 2} .6246377{col 42}{space 1}   -1.08{col 51}{space 3}0.280{col 59}{space 4}-1.898468{col 72}{space 3} .5500664
{txt}{space 6}1.territory {c |}{col 19}{res}{space 2}-.6139773{col 31}{space 2} .3322053{col 42}{space 1}   -1.85{col 51}{space 3}0.065{col 59}{space 4}-1.265088{col 72}{space 3}  .037133
{txt}{space 4}1.reparations {c |}{col 19}{res}{space 2} .0077853{col 31}{space 2} .4838477{col 42}{space 1}    0.02{col 51}{space 3}0.987{col 59}{space 4}-.9405388{col 72}{space 3} .9561094
{txt}{space 5}1.leadership {c |}{col 19}{res}{space 2}  2.17781{col 31}{space 2}  .602942{col 42}{space 1}    3.61{col 51}{space 3}0.000{col 59}{space 4} .9960657{col 72}{space 3} 3.359555
{txt}{space 9}1.policy {c |}{col 19}{res}{space 2}-.0120695{col 31}{space 2} .3198511{col 42}{space 1}   -0.04{col 51}{space 3}0.970{col 59}{space 4}-.6389661{col 72}{space 3} .6148272
{txt}{space 6}1.contig_ks {c |}{col 19}{res}{space 2}-.0025307{col 31}{space 2} .3637542{col 42}{space 1}   -0.01{col 51}{space 3}0.994{col 59}{space 4}-.7154758{col 72}{space 3} .7104143
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} -1.45461{col 31}{space 2} .7334274{col 42}{space 1}   -1.98{col 51}{space 3}0.047{col 59}{space 4}-2.892102{col 72}{space 3}-.0171193
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M2: logit success i.showofforce i.mobilization, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res:-150.37771}  
Iteration 2:{space 3}log pseudolikelihood = {res:-150.20573}  
Iteration 3:{space 3}log pseudolikelihood = {res:-150.20552}  
Iteration 4:{space 3}log pseudolikelihood = {res:-150.20552}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}2{txt}){col 67}= {res}     24.79
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-150.20552{txt}{col 49}Pseudo R2{col 67}= {res}    0.0931

{txt}{ralign 80:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}       success{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}1.showofforce {c |}{col 16}{res}{space 2} .6829948{col 28}{space 2} .6322939{col 39}{space 1}    1.08{col 48}{space 3}0.280{col 56}{space 4}-.5562785{col 69}{space 3} 1.922268
{txt}1.mobilization {c |}{col 16}{res}{space 2} 1.872579{col 28}{space 2}  .379694{col 39}{space 1}    4.93{col 48}{space 3}0.000{col 56}{space 4} 1.128392{col 69}{space 3} 2.616765
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-1.694596{col 28}{space 2} .3514861{col 39}{space 1}   -4.82{col 48}{space 3}0.000{col 56}{space 4}-2.383496{col 69}{space 3}-1.005696
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M4: logit success i.showofforce i.mobilization i.democpolity_a i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res: -130.9549}  
Iteration 2:{space 3}log pseudolikelihood = {res:-130.68344}  
Iteration 3:{space 3}log pseudolikelihood = {res:-130.68321}  
Iteration 4:{space 3}log pseudolikelihood = {res:-130.68321}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     51.93
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-130.68321{txt}{col 49}Pseudo R2{col 67}= {res}    0.2109

{txt}{ralign 81:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        success{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.showofforce {c |}{col 17}{res}{space 2} .6059104{col 29}{space 2}  .588264{col 40}{space 1}    1.03{col 49}{space 3}0.303{col 57}{space 4}-.5470659{col 70}{space 3} 1.758887
{txt}{space 1}1.mobilization {c |}{col 17}{res}{space 2} 2.260604{col 29}{space 2} .4401567{col 40}{space 1}    5.14{col 49}{space 3}0.000{col 57}{space 4} 1.397913{col 70}{space 3} 3.123296
{txt}1.democpolity_a {c |}{col 17}{res}{space 2}-.2038161{col 29}{space 2} .4183234{col 40}{space 1}   -0.49{col 49}{space 3}0.626{col 57}{space 4}-1.023715{col 70}{space 3} .6160827
{txt}1.democpolity_b {c |}{col 17}{res}{space 2} 1.203743{col 29}{space 2} .4184193{col 40}{space 1}    2.88{col 49}{space 3}0.004{col 57}{space 4} .3836565{col 70}{space 3}  2.02383
{txt}{space 4}theta2_mean {c |}{col 17}{res}{space 2}-.4819733{col 29}{space 2} .2656215{col 40}{space 1}   -1.81{col 49}{space 3}0.070{col 57}{space 4}-1.002582{col 70}{space 3} .0386354
{txt}{space 2}capshare_a_ks {c |}{col 17}{res}{space 2}-.6217022{col 29}{space 2} .6529072{col 40}{space 1}   -0.95{col 49}{space 3}0.341{col 57}{space 4}-1.901377{col 70}{space 3} .6579724
{txt}{space 4}1.territory {c |}{col 17}{res}{space 2}-.5907774{col 29}{space 2} .3471182{col 40}{space 1}   -1.70{col 49}{space 3}0.089{col 57}{space 4}-1.271117{col 70}{space 3} .0895618
{txt}{space 2}1.reparations {c |}{col 17}{res}{space 2}-.0881099{col 29}{space 2} .4882356{col 40}{space 1}   -0.18{col 49}{space 3}0.857{col 57}{space 4}-1.045034{col 70}{space 3} .8688143
{txt}{space 3}1.leadership {c |}{col 17}{res}{space 2} 2.247236{col 29}{space 2} .6294087{col 40}{space 1}    3.57{col 49}{space 3}0.000{col 57}{space 4} 1.013617{col 70}{space 3} 3.480854
{txt}{space 7}1.policy {c |}{col 17}{res}{space 2} .0421824{col 29}{space 2} .3224338{col 40}{space 1}    0.13{col 49}{space 3}0.896{col 57}{space 4}-.5897763{col 70}{space 3} .6741412
{txt}{space 4}1.contig_ks {c |}{col 17}{res}{space 2} .0227955{col 29}{space 2} .3746653{col 40}{space 1}    0.06{col 49}{space 3}0.951{col 57}{space 4} -.711535{col 70}{space 3}  .757126
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.563408{col 29}{space 2} .7358185{col 40}{space 1}   -2.12{col 49}{space 3}0.034{col 57}{space 4}-3.005585{col 70}{space 3}-.1212298
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. esttab M1 M2 M3 M4, se(3) pr2 b(3) star(+ 0.10 * 0.05 ** 0.01 *** 0.001)
{res}
{txt}{hline 76}
{txt}                      (1)             (2)             (3)             (4)   
{txt}                  success         success         success         success   
{txt}{hline 76}
{res}success                                                                     {txt}
{txt}0.military~l{res}        0.000                           0.000                   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}1.military~l{res}        1.782***                        2.117***                {txt}
            {res} {ralign 12:{txt:(}0.371{txt:)}}                    {ralign 12:{txt:(}0.433{txt:)}}                   {txt}

{txt}0.showoffo~e{res}                        0.000                           0.000   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.showoffo~e{res}                        0.683                           0.606   {txt}
            {res}                 {ralign 12:{txt:(}0.632{txt:)}}                    {ralign 12:{txt:(}0.588{txt:)}}   {txt}

{txt}0.mobiliza~n{res}                        0.000                           0.000   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.mobiliza~n{res}                        1.873***                        2.261***{txt}
            {res}                 {ralign 12:{txt:(}0.380{txt:)}}                    {ralign 12:{txt:(}0.440{txt:)}}   {txt}

{txt}0.democpol~a{res}                                        0.000           0.000   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.democpol~a{res}                                       -0.199          -0.204   {txt}
            {res}                                 {ralign 12:{txt:(}0.408{txt:)}}    {ralign 12:{txt:(}0.418{txt:)}}   {txt}

{txt}0.democpol~b{res}                                        0.000           0.000   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.democpol~b{res}                                        1.135**         1.204** {txt}
            {res}                                 {ralign 12:{txt:(}0.407{txt:)}}    {ralign 12:{txt:(}0.418{txt:)}}   {txt}

{txt}theta2_mean {res}                                       -0.410          -0.482+  {txt}
            {res}                                 {ralign 12:{txt:(}0.251{txt:)}}    {ralign 12:{txt:(}0.266{txt:)}}   {txt}

{txt}capshare_a~s{res}                                       -0.674          -0.622   {txt}
            {res}                                 {ralign 12:{txt:(}0.625{txt:)}}    {ralign 12:{txt:(}0.653{txt:)}}   {txt}

{txt}0.territory {res}                                        0.000           0.000   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.territory {res}                                       -0.614+         -0.591+  {txt}
            {res}                                 {ralign 12:{txt:(}0.332{txt:)}}    {ralign 12:{txt:(}0.347{txt:)}}   {txt}

{txt}0.reparati~s{res}                                        0.000           0.000   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.reparati~s{res}                                        0.008          -0.088   {txt}
            {res}                                 {ralign 12:{txt:(}0.484{txt:)}}    {ralign 12:{txt:(}0.488{txt:)}}   {txt}

{txt}0.leadership{res}                                        0.000           0.000   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.leadership{res}                                        2.178***        2.247***{txt}
            {res}                                 {ralign 12:{txt:(}0.603{txt:)}}    {ralign 12:{txt:(}0.629{txt:)}}   {txt}

{txt}0.policy    {res}                                        0.000           0.000   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.policy    {res}                                       -0.012           0.042   {txt}
            {res}                                 {ralign 12:{txt:(}0.320{txt:)}}    {ralign 12:{txt:(}0.322{txt:)}}   {txt}

{txt}0.contig_ks {res}                                        0.000           0.000   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.contig_ks {res}                                       -0.003           0.023   {txt}
            {res}                                 {ralign 12:{txt:(}0.364{txt:)}}    {ralign 12:{txt:(}0.375{txt:)}}   {txt}

{txt}_cons       {res}       -1.695***       -1.695***       -1.455*         -1.563*  {txt}
            {res} {ralign 12:{txt:(}0.351{txt:)}}    {ralign 12:{txt:(}0.351{txt:)}}    {ralign 12:{txt:(}0.733{txt:)}}    {ralign 12:{txt:(}0.736{txt:)}}   {txt}
{txt}{hline 76}
{txt}N           {res}          242             242             242             242   {txt}
{txt}pseudo R-sq {res}        0.080           0.093           0.193           0.211   {txt}
{txt}{hline 76}
{txt}Standard errors in parentheses
{txt}+ p<0.10, * p<0.05, ** p<0.01, *** p<0.001

{com}. 
. * Marginal effects reported in main text
. logit success i.military_signal, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res:-152.54346}  
Iteration 2:{space 3}log pseudolikelihood = {res: -152.3968}  
Iteration 3:{space 3}log pseudolikelihood = {res:-152.39659}  
Iteration 4:{space 3}log pseudolikelihood = {res:-152.39659}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}1{txt}){col 67}= {res}     23.06
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-152.39659{txt}{col 49}Pseudo R2{col 67}= {res}    0.0798

{txt}{ralign 83:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}          success{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.military_signal {c |}{col 19}{res}{space 2} 1.781607{col 31}{space 2} .3709753{col 42}{space 1}    4.80{col 51}{space 3}0.000{col 59}{space 4} 1.054509{col 72}{space 3} 2.508705
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-1.694596{col 31}{space 2} .3514861{col 42}{space 1}   -4.82{col 51}{space 3}0.000{col 59}{space 4}-2.383496{col 72}{space 3}-1.005696
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins military_signal
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success), predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29} Delta-method
{col 17}{c |}     Margin{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
military_signal {c |}
{space 13}0  {c |}{col 17}{res}{space 2} .1551724{col 29}{space 2} .0460777{col 40}{space 1}    3.37{col 49}{space 3}0.001{col 57}{space 4} .0648618{col 70}{space 3}  .245483
{txt}{space 13}1  {c |}{col 17}{res}{space 2} .5217391{col 29}{space 2} .0462728{col 40}{space 1}   11.28{col 49}{space 3}0.000{col 57}{space 4} .4310462{col 70}{space 3} .6124321
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. logit success i.showofforce i.mobilization i.democpolity_a i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res: -130.9549}  
Iteration 2:{space 3}log pseudolikelihood = {res:-130.68344}  
Iteration 3:{space 3}log pseudolikelihood = {res:-130.68321}  
Iteration 4:{space 3}log pseudolikelihood = {res:-130.68321}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     51.93
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-130.68321{txt}{col 49}Pseudo R2{col 67}= {res}    0.2109

{txt}{ralign 81:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        success{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.showofforce {c |}{col 17}{res}{space 2} .6059104{col 29}{space 2}  .588264{col 40}{space 1}    1.03{col 49}{space 3}0.303{col 57}{space 4}-.5470659{col 70}{space 3} 1.758887
{txt}{space 1}1.mobilization {c |}{col 17}{res}{space 2} 2.260604{col 29}{space 2} .4401567{col 40}{space 1}    5.14{col 49}{space 3}0.000{col 57}{space 4} 1.397913{col 70}{space 3} 3.123296
{txt}1.democpolity_a {c |}{col 17}{res}{space 2}-.2038161{col 29}{space 2} .4183234{col 40}{space 1}   -0.49{col 49}{space 3}0.626{col 57}{space 4}-1.023715{col 70}{space 3} .6160827
{txt}1.democpolity_b {c |}{col 17}{res}{space 2} 1.203743{col 29}{space 2} .4184193{col 40}{space 1}    2.88{col 49}{space 3}0.004{col 57}{space 4} .3836565{col 70}{space 3}  2.02383
{txt}{space 4}theta2_mean {c |}{col 17}{res}{space 2}-.4819733{col 29}{space 2} .2656215{col 40}{space 1}   -1.81{col 49}{space 3}0.070{col 57}{space 4}-1.002582{col 70}{space 3} .0386354
{txt}{space 2}capshare_a_ks {c |}{col 17}{res}{space 2}-.6217022{col 29}{space 2} .6529072{col 40}{space 1}   -0.95{col 49}{space 3}0.341{col 57}{space 4}-1.901377{col 70}{space 3} .6579724
{txt}{space 4}1.territory {c |}{col 17}{res}{space 2}-.5907774{col 29}{space 2} .3471182{col 40}{space 1}   -1.70{col 49}{space 3}0.089{col 57}{space 4}-1.271117{col 70}{space 3} .0895618
{txt}{space 2}1.reparations {c |}{col 17}{res}{space 2}-.0881099{col 29}{space 2} .4882356{col 40}{space 1}   -0.18{col 49}{space 3}0.857{col 57}{space 4}-1.045034{col 70}{space 3} .8688143
{txt}{space 3}1.leadership {c |}{col 17}{res}{space 2} 2.247236{col 29}{space 2} .6294087{col 40}{space 1}    3.57{col 49}{space 3}0.000{col 57}{space 4} 1.013617{col 70}{space 3} 3.480854
{txt}{space 7}1.policy {c |}{col 17}{res}{space 2} .0421824{col 29}{space 2} .3224338{col 40}{space 1}    0.13{col 49}{space 3}0.896{col 57}{space 4}-.5897763{col 70}{space 3} .6741412
{txt}{space 4}1.contig_ks {c |}{col 17}{res}{space 2} .0227955{col 29}{space 2} .3746653{col 40}{space 1}    0.06{col 49}{space 3}0.951{col 57}{space 4} -.711535{col 70}{space 3}  .757126
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.563408{col 29}{space 2} .7358185{col 40}{space 1}   -2.12{col 49}{space 3}0.034{col 57}{space 4}-3.005585{col 70}{space 3}-.1212298
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins mobilization, at(showofforce = 0 territory = 1 reparations = 0 leadership = 0 policy = 0 contig_ks = 1) atmeans
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:showofforce}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.mobiliza~n}{space 4}{txt:=} {space 3}.3016529 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.mobiliza~n}{space 4}{txt:=} {space 3}.6983471 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~a}{space 4}{txt:=} {space 3}.6363636 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~a}{space 4}{txt:=} {space 3}.3636364 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~b}{space 4}{txt:=} {space 3}.7644628 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~b}{space 4}{txt:=} {space 3}.2355372 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:theta2_mean}{space 5}{txt:=} {space 3}.2616775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:capshare_a~s}{space 4}{txt:=} {space 3}.6740789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:territory}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:reparations}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leadership}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:policy}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:contig_ks}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
mobilization {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .0781915{col 26}{space 2} .0335192{col 37}{space 1}    2.33{col 46}{space 3}0.020{col 54}{space 4} .0124951{col 67}{space 3}  .143888
{txt}{space 10}1  {c |}{col 14}{res}{space 2}   .44854{col 26}{space 2} .0731618{col 37}{space 1}    6.13{col 46}{space 3}0.000{col 54}{space 4} .3051454{col 67}{space 3} .5919345
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins showofforce, at(mobilization = 0 territory = 1 reparations = 0 leadership = 0 policy = 0 contig_ks = 1) atmeans
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.showoffo~e}{space 4}{txt:=} {space 3}.9380165 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.showoffo~e}{space 4}{txt:=} {space 3}.0619835 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mobilization}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~a}{space 4}{txt:=} {space 3}.6363636 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~a}{space 4}{txt:=} {space 3}.3636364 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~b}{space 4}{txt:=} {space 3}.7644628 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~b}{space 4}{txt:=} {space 3}.2355372 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:theta2_mean}{space 5}{txt:=} {space 3}.2616775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:capshare_a~s}{space 4}{txt:=} {space 3}.6740789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:territory}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:reparations}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leadership}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:policy}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:contig_ks}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}showofforce {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .0781915{col 26}{space 2} .0335192{col 37}{space 1}    2.33{col 46}{space 3}0.020{col 54}{space 4} .0124951{col 67}{space 3}  .143888
{txt}{space 10}1  {c |}{col 14}{res}{space 2} .1345556{col 26}{space 2} .0577892{col 37}{space 1}    2.33{col 46}{space 3}0.020{col 54}{space 4} .0212909{col 67}{space 3} .2478203
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. lincom 1.mobilization - 1.showofforce

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- [success]1.showofforce + [success]1.mobilization = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     success{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.654694{col 26}{space 2} .5070692{col 37}{space 1}    3.26{col 46}{space 3}0.001{col 54}{space 4} .6608566{col 67}{space 3} 2.648531
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. ********** FIGURE 1: Marginal Effect of Military Signals ********** 
. 
. * Ordered logit models
. eststo M1o: ologit success3 i.military_signal, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-202.93491}  
Iteration 1:{space 3}log pseudolikelihood = {res:-188.92372}  
Iteration 2:{space 3}log pseudolikelihood = {res:-188.73316}  
Iteration 3:{space 3}log pseudolikelihood = {res:-188.73278}  
Iteration 4:{space 3}log pseudolikelihood = {res:-188.73278}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}1{txt}){col 67}= {res}     24.98
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-188.73278{txt}{col 49}Pseudo R2{col 67}= {res}    0.0700

{txt}{ralign 83:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}         success3{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.military_signal {c |}{col 19}{res}{space 2} 1.825625{col 31}{space 2} .3653073{col 42}{space 1}    5.00{col 51}{space 3}0.000{col 59}{space 4} 1.109636{col 72}{space 3} 2.541614
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}/cut1 {c |}{col 19}{res}{space 2} 1.722647{col 31}{space 2} .3463397{col 59}{space 4} 1.043833{col 72}{space 3}  2.40146
{txt}{space 12}/cut2 {c |}{col 19}{res}{space 2}  1.95058{col 31}{space 2} .3492847{col 59}{space 4} 1.265995{col 72}{space 3} 2.635166
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M2o: ologit success3 i.showofforce i.mobilization, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-202.93491}  
Iteration 1:{space 3}log pseudolikelihood = {res:-186.94818}  
Iteration 2:{space 3}log pseudolikelihood = {res:-186.72648}  
Iteration 3:{space 3}log pseudolikelihood = {res: -186.7261}  
Iteration 4:{space 3}log pseudolikelihood = {res: -186.7261}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}2{txt}){col 67}= {res}     26.55
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -186.7261{txt}{col 49}Pseudo R2{col 67}= {res}    0.0799

{txt}{ralign 80:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}      success3{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}1.showofforce {c |}{col 16}{res}{space 2}  .769901{col 28}{space 2} .6593489{col 39}{space 1}    1.17{col 48}{space 3}0.243{col 56}{space 4}-.5223991{col 69}{space 3} 2.062201
{txt}1.mobilization {c |}{col 16}{res}{space 2} 1.909695{col 28}{space 2}  .373355{col 39}{space 1}    5.11{col 48}{space 3}0.000{col 56}{space 4} 1.177933{col 69}{space 3} 2.641458
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/cut1 {c |}{col 16}{res}{space 2} 1.722133{col 28}{space 2} .3464603{col 56}{space 4} 1.043084{col 69}{space 3} 2.401183
{txt}{space 9}/cut2 {c |}{col 16}{res}{space 2} 1.954085{col 28}{space 2} .3498222{col 56}{space 4} 1.268446{col 69}{space 3} 2.639724
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M3o: ologit success3 i.military_signal i.military_signal i.democpolity_a i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-202.93491}  
Iteration 1:{space 3}log pseudolikelihood = {res:-167.02944}  
Iteration 2:{space 3}log pseudolikelihood = {res:-166.55493}  
Iteration 3:{space 3}log pseudolikelihood = {res:-166.55358}  
Iteration 4:{space 3}log pseudolikelihood = {res:-166.55358}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}     50.06
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-166.55358{txt}{col 49}Pseudo R2{col 67}= {res}    0.1793

{txt}{ralign 83:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}         success3{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.military_signal {c |}{col 19}{res}{space 2} 2.197331{col 31}{space 2} .4561233{col 42}{space 1}    4.82{col 51}{space 3}0.000{col 59}{space 4} 1.303346{col 72}{space 3} 3.091317
{txt}{space 2}1.democpolity_a {c |}{col 19}{res}{space 2}-.2876149{col 31}{space 2} .4180498{col 42}{space 1}   -0.69{col 51}{space 3}0.491{col 59}{space 4}-1.106977{col 72}{space 3} .5317477
{txt}{space 2}1.democpolity_b {c |}{col 19}{res}{space 2} 1.242501{col 31}{space 2} .4291152{col 42}{space 1}    2.90{col 51}{space 3}0.004{col 59}{space 4} .4014508{col 72}{space 3} 2.083551
{txt}{space 6}theta2_mean {c |}{col 19}{res}{space 2}-.3969387{col 31}{space 2} .2388757{col 42}{space 1}   -1.66{col 51}{space 3}0.097{col 59}{space 4}-.8651264{col 72}{space 3}  .071249
{txt}{space 4}capshare_a_ks {c |}{col 19}{res}{space 2}-.7746012{col 31}{space 2} .6476318{col 42}{space 1}   -1.20{col 51}{space 3}0.232{col 59}{space 4}-2.043936{col 72}{space 3} .4947338
{txt}{space 6}1.territory {c |}{col 19}{res}{space 2}-.5312764{col 31}{space 2} .3437252{col 42}{space 1}   -1.55{col 51}{space 3}0.122{col 59}{space 4}-1.204965{col 72}{space 3} .1424126
{txt}{space 4}1.reparations {c |}{col 19}{res}{space 2}-.1919341{col 31}{space 2} .4181361{col 42}{space 1}   -0.46{col 51}{space 3}0.646{col 59}{space 4}-1.011466{col 72}{space 3} .6275976
{txt}{space 5}1.leadership {c |}{col 19}{res}{space 2} 2.426661{col 31}{space 2} .6275764{col 42}{space 1}    3.87{col 51}{space 3}0.000{col 59}{space 4} 1.196634{col 72}{space 3} 3.656688
{txt}{space 9}1.policy {c |}{col 19}{res}{space 2} .0001362{col 31}{space 2} .3267884{col 42}{space 1}    0.00{col 51}{space 3}1.000{col 59}{space 4}-.6403573{col 72}{space 3} .6406298
{txt}{space 6}1.contig_ks {c |}{col 19}{res}{space 2}-.0406817{col 31}{space 2} .3715023{col 42}{space 1}   -0.11{col 51}{space 3}0.913{col 59}{space 4}-.7688128{col 72}{space 3} .6874495
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}/cut1 {c |}{col 19}{res}{space 2} 1.465771{col 31}{space 2} .7747807{col 59}{space 4}-.0527716{col 72}{space 3} 2.984313
{txt}{space 12}/cut2 {c |}{col 19}{res}{space 2}  1.74065{col 31}{space 2}  .778215{col 59}{space 4} .2153764{col 72}{space 3} 3.265923
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M4o: ologit success3 i.showofforce i.mobilization i.democpolity_a i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-202.93491}  
Iteration 1:{space 3}log pseudolikelihood = {res:-164.11921}  
Iteration 2:{space 3}log pseudolikelihood = {res:-163.64703}  
Iteration 3:{space 3}log pseudolikelihood = {res:-163.64614}  
Iteration 4:{space 3}log pseudolikelihood = {res:-163.64614}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     53.86
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-163.64614{txt}{col 49}Pseudo R2{col 67}= {res}    0.1936

{txt}{ralign 81:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       success3{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.showofforce {c |}{col 17}{res}{space 2} .7175252{col 29}{space 2} .6098745{col 40}{space 1}    1.18{col 49}{space 3}0.239{col 57}{space 4}-.4778069{col 70}{space 3} 1.912857
{txt}{space 1}1.mobilization {c |}{col 17}{res}{space 2} 2.333428{col 29}{space 2} .4620571{col 40}{space 1}    5.05{col 49}{space 3}0.000{col 57}{space 4} 1.427812{col 70}{space 3} 3.239043
{txt}1.democpolity_a {c |}{col 17}{res}{space 2}-.2951618{col 29}{space 2}  .428675{col 40}{space 1}   -0.69{col 49}{space 3}0.491{col 57}{space 4}-1.135349{col 70}{space 3} .5450258
{txt}1.democpolity_b {c |}{col 17}{res}{space 2} 1.314655{col 29}{space 2} .4404805{col 40}{space 1}    2.98{col 49}{space 3}0.003{col 57}{space 4}  .451329{col 70}{space 3} 2.177981
{txt}{space 4}theta2_mean {c |}{col 17}{res}{space 2}-.4614504{col 29}{space 2} .2505512{col 40}{space 1}   -1.84{col 49}{space 3}0.066{col 57}{space 4}-.9525218{col 70}{space 3}  .029621
{txt}{space 2}capshare_a_ks {c |}{col 17}{res}{space 2}-.7331722{col 29}{space 2} .6754403{col 40}{space 1}   -1.09{col 49}{space 3}0.278{col 57}{space 4}-2.057011{col 70}{space 3} .5906663
{txt}{space 4}1.territory {c |}{col 17}{res}{space 2}-.5026991{col 29}{space 2} .3601517{col 40}{space 1}   -1.40{col 49}{space 3}0.163{col 57}{space 4}-1.208583{col 70}{space 3} .2031852
{txt}{space 2}1.reparations {c |}{col 17}{res}{space 2}-.2835053{col 29}{space 2} .4229335{col 40}{space 1}   -0.67{col 49}{space 3}0.503{col 57}{space 4} -1.11244{col 70}{space 3} .5454292
{txt}{space 3}1.leadership {c |}{col 17}{res}{space 2} 2.504108{col 29}{space 2} .6539686{col 40}{space 1}    3.83{col 49}{space 3}0.000{col 57}{space 4} 1.222353{col 70}{space 3} 3.785863
{txt}{space 7}1.policy {c |}{col 17}{res}{space 2} .0503431{col 29}{space 2} .3282403{col 40}{space 1}    0.15{col 49}{space 3}0.878{col 57}{space 4} -.592996{col 70}{space 3} .6936823
{txt}{space 4}1.contig_ks {c |}{col 17}{res}{space 2}-.0183411{col 29}{space 2} .3807062{col 40}{space 1}   -0.05{col 49}{space 3}0.962{col 57}{space 4}-.7645116{col 70}{space 3} .7278295
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2} 1.563897{col 29}{space 2} .7765638{col 57}{space 4} .0418595{col 70}{space 3} 3.085934
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2} 1.845284{col 29}{space 2} .7795122{col 57}{space 4} .3174685{col 70}{space 3}   3.3731
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. esttab M1o M2o M3o M4o, se(3) pr2 b(3) star(+ 0.10 * 0.05 ** 0.01 *** 0.001)
{res}
{txt}{hline 76}
{txt}                      (1)             (2)             (3)             (4)   
{txt}                 success3        success3        success3        success3   
{txt}{hline 76}
{res}success3                                                                    {txt}
{txt}0.military~l{res}        0.000                           0.000                   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}1.military~l{res}        1.826***                        2.197***                {txt}
            {res} {ralign 12:{txt:(}0.365{txt:)}}                    {ralign 12:{txt:(}0.456{txt:)}}                   {txt}

{txt}0.showoffo~e{res}                        0.000                           0.000   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.showoffo~e{res}                        0.770                           0.718   {txt}
            {res}                 {ralign 12:{txt:(}0.659{txt:)}}                    {ralign 12:{txt:(}0.610{txt:)}}   {txt}

{txt}0.mobiliza~n{res}                        0.000                           0.000   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.mobiliza~n{res}                        1.910***                        2.333***{txt}
            {res}                 {ralign 12:{txt:(}0.373{txt:)}}                    {ralign 12:{txt:(}0.462{txt:)}}   {txt}

{txt}0.democpol~a{res}                                        0.000           0.000   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.democpol~a{res}                                       -0.288          -0.295   {txt}
            {res}                                 {ralign 12:{txt:(}0.418{txt:)}}    {ralign 12:{txt:(}0.429{txt:)}}   {txt}

{txt}0.democpol~b{res}                                        0.000           0.000   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.democpol~b{res}                                        1.243**         1.315** {txt}
            {res}                                 {ralign 12:{txt:(}0.429{txt:)}}    {ralign 12:{txt:(}0.440{txt:)}}   {txt}

{txt}theta2_mean {res}                                       -0.397+         -0.461+  {txt}
            {res}                                 {ralign 12:{txt:(}0.239{txt:)}}    {ralign 12:{txt:(}0.251{txt:)}}   {txt}

{txt}capshare_a~s{res}                                       -0.775          -0.733   {txt}
            {res}                                 {ralign 12:{txt:(}0.648{txt:)}}    {ralign 12:{txt:(}0.675{txt:)}}   {txt}

{txt}0.territory {res}                                        0.000           0.000   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.territory {res}                                       -0.531          -0.503   {txt}
            {res}                                 {ralign 12:{txt:(}0.344{txt:)}}    {ralign 12:{txt:(}0.360{txt:)}}   {txt}

{txt}0.reparati~s{res}                                        0.000           0.000   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.reparati~s{res}                                       -0.192          -0.284   {txt}
            {res}                                 {ralign 12:{txt:(}0.418{txt:)}}    {ralign 12:{txt:(}0.423{txt:)}}   {txt}

{txt}0.leadership{res}                                        0.000           0.000   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.leadership{res}                                        2.427***        2.504***{txt}
            {res}                                 {ralign 12:{txt:(}0.628{txt:)}}    {ralign 12:{txt:(}0.654{txt:)}}   {txt}

{txt}0.policy    {res}                                        0.000           0.000   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.policy    {res}                                        0.000           0.050   {txt}
            {res}                                 {ralign 12:{txt:(}0.327{txt:)}}    {ralign 12:{txt:(}0.328{txt:)}}   {txt}

{txt}0.contig_ks {res}                                        0.000           0.000   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.contig_ks {res}                                       -0.041          -0.018   {txt}
            {res}                                 {ralign 12:{txt:(}0.372{txt:)}}    {ralign 12:{txt:(}0.381{txt:)}}   {txt}
{hline 76}
{res}/                                                                           {txt}
{txt}cut1        {res}        1.723***        1.722***        1.466+          1.564*  {txt}
            {res} {ralign 12:{txt:(}0.346{txt:)}}    {ralign 12:{txt:(}0.346{txt:)}}    {ralign 12:{txt:(}0.775{txt:)}}    {ralign 12:{txt:(}0.777{txt:)}}   {txt}

{txt}cut2        {res}        1.951***        1.954***        1.741*          1.845*  {txt}
            {res} {ralign 12:{txt:(}0.349{txt:)}}    {ralign 12:{txt:(}0.350{txt:)}}    {ralign 12:{txt:(}0.778{txt:)}}    {ralign 12:{txt:(}0.780{txt:)}}   {txt}
{txt}{hline 76}
{txt}N           {res}          242             242             242             242   {txt}
{txt}pseudo R-sq {res}        0.070           0.080           0.179           0.194   {txt}
{txt}{hline 76}
{txt}Standard errors in parentheses
{txt}+ p<0.10, * p<0.05, ** p<0.01, *** p<0.001

{com}. 
. * Estimate marginal effects
. est restore M3
{txt}(results {stata estimates replay M3:M3} are active now)

{com}. eststo marginsM1: margins, dydx(military_signal) at(territory = 1 reparations = 0 leadership = 0 policy = 0 contig_ks = 1) atmeans post
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.military_signal}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.military~l}{space 4}{txt:=} {space 3}.2396694 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.military~l}{space 4}{txt:=} {space 3}.7603306 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~a}{space 4}{txt:=} {space 3}.6363636 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~a}{space 4}{txt:=} {space 3}.3636364 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~b}{space 4}{txt:=} {space 3}.7644628 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~b}{space 4}{txt:=} {space 3}.2355372 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:theta2_mean}{space 5}{txt:=} {space 3}.2616775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:capshare_a~s}{space 4}{txt:=} {space 3}.6740789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:territory}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:reparations}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leadership}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:policy}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:contig_ks}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31} Delta-method
{col 19}{c |}      dy/dx{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.military_signal {c |}{col 19}{res}{space 2} .3400697{col 31}{space 2} .0635837{col 42}{space 1}    5.35{col 51}{space 3}0.000{col 59}{space 4} .2154478{col 72}{space 3} .4646915
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 83}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. est restore M3o
{txt}(results {stata estimates replay M3o:M3o} are active now)

{com}. eststo marginsM1o: margins, predict(outcome(2)) dydx(military_signal) at(territory = 1 reparations = 0 leadership = 0 policy = 0 contig_ks = 1) atmeans post
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success3==2), predict(outcome(2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.military_signal}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.military~l}{space 4}{txt:=} {space 3}.2396694 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.military~l}{space 4}{txt:=} {space 3}.7603306 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~a}{space 4}{txt:=} {space 3}.6363636 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~a}{space 4}{txt:=} {space 3}.3636364 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~b}{space 4}{txt:=} {space 3}.7644628 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~b}{space 4}{txt:=} {space 3}.2355372 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:theta2_mean}{space 5}{txt:=} {space 3}.2616775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:capshare_a~s}{space 4}{txt:=} {space 3}.6740789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:territory}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:reparations}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leadership}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:policy}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:contig_ks}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31} Delta-method
{col 19}{c |}      dy/dx{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.military_signal {c |}{col 19}{res}{space 2}  .305062{col 31}{space 2} .0641405{col 42}{space 1}    4.76{col 51}{space 3}0.000{col 59}{space 4} .1793491{col 72}{space 3}  .430775
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 83}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. est restore M4
{txt}(results {stata estimates replay M4:M4} are active now)

{com}. eststo marginsM2a: margins, dydx(showofforce) at(mobilization = 0 territory = 1 reparations = 0 leadership = 0 policy = 0 contig_ks = 1) atmeans post
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.showofforce}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.showoffo~e}{space 4}{txt:=} {space 3}.9380165 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.showoffo~e}{space 4}{txt:=} {space 3}.0619835 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mobilization}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~a}{space 4}{txt:=} {space 3}.6363636 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~a}{space 4}{txt:=} {space 3}.3636364 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~b}{space 4}{txt:=} {space 3}.7644628 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~b}{space 4}{txt:=} {space 3}.2355372 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:theta2_mean}{space 5}{txt:=} {space 3}.2616775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:capshare_a~s}{space 4}{txt:=} {space 3}.6740789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:territory}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:reparations}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leadership}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:policy}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:contig_ks}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27} Delta-method
{col 15}{c |}      dy/dx{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.showofforce {c |}{col 15}{res}{space 2} .0563641{col 27}{space 2} .0590377{col 38}{space 1}    0.95{col 47}{space 3}0.340{col 55}{space 4}-.0593477{col 68}{space 3} .1720759
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 79}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. est restore M4o
{txt}(results {stata estimates replay M4o:M4o} are active now)

{com}. eststo marginsM2ao: margins, predict(outcome(2)) dydx(showofforce) at(mobilization = 0 territory = 1 reparations = 0 leadership = 0 policy = 0 contig_ks = 1) atmeans post
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success3==2), predict(outcome(2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.showofforce}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:0.showoffo~e}{space 4}{txt:=} {space 3}.9380165 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.showoffo~e}{space 4}{txt:=} {space 3}.0619835 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mobilization}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~a}{space 4}{txt:=} {space 3}.6363636 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~a}{space 4}{txt:=} {space 3}.3636364 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~b}{space 4}{txt:=} {space 3}.7644628 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~b}{space 4}{txt:=} {space 3}.2355372 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:theta2_mean}{space 5}{txt:=} {space 3}.2616775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:capshare_a~s}{space 4}{txt:=} {space 3}.6740789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:territory}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:reparations}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leadership}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:policy}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:contig_ks}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27} Delta-method
{col 15}{c |}      dy/dx{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.showofforce {c |}{col 15}{res}{space 2} .0544297{col 27}{space 2} .0508649{col 38}{space 1}    1.07{col 47}{space 3}0.285{col 55}{space 4}-.0452637{col 68}{space 3}  .154123
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 79}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. est restore M4
{txt}(results {stata estimates replay M4:M4} are active now)

{com}. eststo marginsM2b: margins, dydx(mobilization) at(showofforce = 0 territory = 1 reparations = 0 leadership = 0 policy = 0 contig_ks = 1) atmeans post
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.mobilization}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:showofforce}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.mobiliza~n}{space 4}{txt:=} {space 3}.3016529 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.mobiliza~n}{space 4}{txt:=} {space 3}.6983471 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~a}{space 4}{txt:=} {space 3}.6363636 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~a}{space 4}{txt:=} {space 3}.3636364 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~b}{space 4}{txt:=} {space 3}.7644628 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~b}{space 4}{txt:=} {space 3}.2355372 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:theta2_mean}{space 5}{txt:=} {space 3}.2616775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:capshare_a~s}{space 4}{txt:=} {space 3}.6740789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:territory}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:reparations}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leadership}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:policy}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:contig_ks}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28} Delta-method
{col 16}{c |}      dy/dx{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.mobilization {c |}{col 16}{res}{space 2} .3703484{col 28}{space 2} .0671924{col 39}{space 1}    5.51{col 48}{space 3}0.000{col 56}{space 4} .2386538{col 69}{space 3}  .502043
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 80}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. est restore M4o
{txt}(results {stata estimates replay M4o:M4o} are active now)

{com}. eststo marginsM2bo: margins, predict(outcome(2)) dydx(mobilization) at(showofforce = 0 territory = 1 reparations = 0 leadership = 0 policy = 0 contig_ks = 1) atmeans post
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success3==2), predict(outcome(2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.mobilization}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:showofforce}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.mobiliza~n}{space 4}{txt:=} {space 3}.3016529 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.mobiliza~n}{space 4}{txt:=} {space 3}.6983471 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~a}{space 4}{txt:=} {space 3}.6363636 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~a}{space 4}{txt:=} {space 3}.3636364 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~b}{space 4}{txt:=} {space 3}.7644628 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~b}{space 4}{txt:=} {space 3}.2355372 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:theta2_mean}{space 5}{txt:=} {space 3}.2616775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:capshare_a~s}{space 4}{txt:=} {space 3}.6740789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:territory}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:reparations}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leadership}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:policy}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:contig_ks}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28} Delta-method
{col 16}{c |}      dy/dx{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.mobilization {c |}{col 16}{res}{space 2} .3319493{col 28}{space 2} .0685247{col 39}{space 1}    4.84{col 48}{space 3}0.000{col 56}{space 4} .1976433{col 69}{space 3} .4662553
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 80}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. 
. * Create figure
. set scheme s1mono
{txt}
{com}. coefplot (marginsM1 \ marginsM2a \ marginsM2b, label(Binary Logit) offset(.1) msymbol(circle) mcolor(black) ciopts(color(black) recast(rcap))) (marginsM1o \ marginsM2ao \ marginsM2bo, label(Ordered Logit) offset(-.1) msymbol(circle) mcolor(gs10) ciopts(color(gs10) recast(rcap))), xlabels(-1 -.5 "-0.5" 0 .5 "0.5" 1) ytitle("") title("") xtitle("Marginal Effect of Military Signals") horiz xline(0) yscale(reverse) xline(0) drop(territory reparations leadership policy contig_ks capshare_a_ks _cons) coeflabel(1.military_signal = "Any Military Signal" 1.showofforce = "Shows of Force" 1.mobilization = "Mobilizations") legend(off) grid(none) aspectratio(1)
{res}{txt}
{com}. *graph export "Marginal Effect of Military Signals.eps", replace
. 
. 
. ********** TABLE 2: Domestic Hand-tying ********** 
. 
. * Logit models
. eststo M7: logit success i.military_signal##democpolity_a i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res:-133.53791}  
Iteration 2:{space 3}log pseudolikelihood = {res:-133.14285}  
Iteration 3:{space 3}log pseudolikelihood = {res:-133.14068}  
Iteration 4:{space 3}log pseudolikelihood = {res:-133.14068}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     49.21
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-133.14068{txt}{col 49}Pseudo R2{col 67}= {res}    0.1961

{txt}{ralign 83:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}          success{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.military_signal {c |}{col 19}{res}{space 2} 1.771925{col 31}{space 2} .5065233{col 42}{space 1}    3.50{col 51}{space 3}0.000{col 59}{space 4} .7791578{col 72}{space 3} 2.764693
{txt}{space 2}1.democpolity_a {c |}{col 19}{res}{space 2}-.9735378{col 31}{space 2} .8214478{col 42}{space 1}   -1.19{col 51}{space 3}0.236{col 59}{space 4}-2.583546{col 72}{space 3} .6364703
{txt}{space 17} {c |}
{space 2}military_signal#{c |}
{space 4}democpolity_a {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2}  .938634{col 31}{space 2}  .858071{col 42}{space 1}    1.09{col 51}{space 3}0.274{col 59}{space 4}-.7431542{col 72}{space 3} 2.620422
{txt}{space 17} {c |}
{space 2}1.democpolity_b {c |}{col 19}{res}{space 2}  1.20498{col 31}{space 2} .4342177{col 42}{space 1}    2.78{col 51}{space 3}0.006{col 59}{space 4} .3539289{col 72}{space 3} 2.056031
{txt}{space 6}theta2_mean {c |}{col 19}{res}{space 2}-.4150768{col 31}{space 2} .2530242{col 42}{space 1}   -1.64{col 51}{space 3}0.101{col 59}{space 4}-.9109952{col 72}{space 3} .0808417
{txt}{space 4}capshare_a_ks {c |}{col 19}{res}{space 2}-.7048624{col 31}{space 2} .6249176{col 42}{space 1}   -1.13{col 51}{space 3}0.259{col 59}{space 4}-1.929678{col 72}{space 3} .5199536
{txt}{space 6}1.territory {c |}{col 19}{res}{space 2}-.6349382{col 31}{space 2} .3428667{col 42}{space 1}   -1.85{col 51}{space 3}0.064{col 59}{space 4}-1.306945{col 72}{space 3} .0370682
{txt}{space 4}1.reparations {c |}{col 19}{res}{space 2} .1293958{col 31}{space 2} .5145968{col 42}{space 1}    0.25{col 51}{space 3}0.801{col 59}{space 4}-.8791955{col 72}{space 3} 1.137987
{txt}{space 5}1.leadership {c |}{col 19}{res}{space 2}  2.10138{col 31}{space 2} .5725656{col 42}{space 1}    3.67{col 51}{space 3}0.000{col 59}{space 4} .9791719{col 72}{space 3} 3.223588
{txt}{space 9}1.policy {c |}{col 19}{res}{space 2}-.0741508{col 31}{space 2} .3266904{col 42}{space 1}   -0.23{col 51}{space 3}0.820{col 59}{space 4}-.7144522{col 72}{space 3} .5661505
{txt}{space 6}1.contig_ks {c |}{col 19}{res}{space 2} .0314888{col 31}{space 2} .3687848{col 42}{space 1}    0.09{col 51}{space 3}0.932{col 59}{space 4}-.6913162{col 72}{space 3} .7542938
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-1.141531{col 31}{space 2} .8134001{col 42}{space 1}   -1.40{col 51}{space 3}0.160{col 59}{space 4}-2.735766{col 72}{space 3} .4527035
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M9: logit success i.military_signal##democadv i.democpolity_a i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res:-133.66798}  
Iteration 2:{space 3}log pseudolikelihood = {res:-133.37353}  
Iteration 3:{space 3}log pseudolikelihood = {res: -133.3729}  
Iteration 4:{space 3}log pseudolikelihood = {res: -133.3729}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     50.77
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -133.3729{txt}{col 49}Pseudo R2{col 67}= {res}    0.1947

{txt}{ralign 90:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                 success{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}1.military_signal {c |}{col 26}{res}{space 2} 2.017154{col 38}{space 2} .6558911{col 49}{space 1}    3.08{col 58}{space 3}0.002{col 66}{space 4}  .731631{col 79}{space 3} 3.302677
{txt}{space 14}1.democadv {c |}{col 26}{res}{space 2}-.4125095{col 38}{space 2} .8562775{col 49}{space 1}   -0.48{col 58}{space 3}0.630{col 66}{space 4}-2.090783{col 79}{space 3} 1.265764
{txt}{space 24} {c |}
military_signal#democadv {c |}
{space 20}1 1  {c |}{col 26}{res}{space 2}     .127{col 38}{space 2} .8567435{col 49}{space 1}    0.15{col 58}{space 3}0.882{col 66}{space 4}-1.552186{col 79}{space 3} 1.806186
{txt}{space 24} {c |}
{space 9}1.democpolity_a {c |}{col 26}{res}{space 2} -.048365{col 38}{space 2} .4987131{col 49}{space 1}   -0.10{col 58}{space 3}0.923{col 66}{space 4}-1.025825{col 79}{space 3} .9290947
{txt}{space 9}1.democpolity_b {c |}{col 26}{res}{space 2} .9879379{col 38}{space 2}  .433911{col 49}{space 1}    2.28{col 58}{space 3}0.023{col 66}{space 4}  .137488{col 79}{space 3} 1.838388
{txt}{space 13}theta2_mean {c |}{col 26}{res}{space 2} -.433222{col 38}{space 2} .2512589{col 49}{space 1}   -1.72{col 58}{space 3}0.085{col 66}{space 4}-.9256803{col 79}{space 3} .0592363
{txt}{space 11}capshare_a_ks {c |}{col 26}{res}{space 2}-.7348902{col 38}{space 2} .5911259{col 49}{space 1}   -1.24{col 58}{space 3}0.214{col 66}{space 4}-1.893476{col 79}{space 3} .4236954
{txt}{space 13}1.territory {c |}{col 26}{res}{space 2}-.6713801{col 38}{space 2} .3503718{col 49}{space 1}   -1.92{col 58}{space 3}0.055{col 66}{space 4}-1.358096{col 79}{space 3}  .015336
{txt}{space 11}1.reparations {c |}{col 26}{res}{space 2} .0269318{col 38}{space 2} .4804619{col 49}{space 1}    0.06{col 58}{space 3}0.955{col 66}{space 4}-.9147561{col 79}{space 3} .9686198
{txt}{space 12}1.leadership {c |}{col 26}{res}{space 2} 2.082166{col 38}{space 2}  .614161{col 49}{space 1}    3.39{col 58}{space 3}0.001{col 66}{space 4} .8784321{col 79}{space 3} 3.285899
{txt}{space 16}1.policy {c |}{col 26}{res}{space 2}-.0261966{col 38}{space 2} .3190794{col 49}{space 1}   -0.08{col 58}{space 3}0.935{col 66}{space 4}-.6515807{col 79}{space 3} .5991876
{txt}{space 13}1.contig_ks {c |}{col 26}{res}{space 2} .0251074{col 38}{space 2} .3684556{col 49}{space 1}    0.07{col 58}{space 3}0.946{col 66}{space 4}-.6970523{col 79}{space 3}  .747267
{txt}{space 19}_cons {c |}{col 26}{res}{space 2}-1.140326{col 38}{space 2} .9299947{col 49}{space 1}   -1.23{col 58}{space 3}0.220{col 66}{space 4}-2.963082{col 79}{space 3} .6824302
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M11: logit success i.military_signal##nonpersonalist_a_tss i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res:-132.30249}  
Iteration 2:{space 3}log pseudolikelihood = {res:-132.03151}  
Iteration 3:{space 3}log pseudolikelihood = {res:-132.03087}  
Iteration 4:{space 3}log pseudolikelihood = {res:-132.03087}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     53.22
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-132.03087{txt}{col 49}Pseudo R2{col 67}= {res}    0.2028

{txt}{ralign 88:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}               success{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.military_signal {c |}{col 24}{res}{space 2} 2.718318{col 36}{space 2} .9583481{col 47}{space 1}    2.84{col 56}{space 3}0.005{col 64}{space 4} .8399906{col 77}{space 3} 4.596646
{txt}1.nonpersonalist_a_tss {c |}{col 24}{res}{space 2} 1.385564{col 36}{space 2} 1.063537{col 47}{space 1}    1.30{col 56}{space 3}0.193{col 64}{space 4}-.6989298{col 77}{space 3} 3.470058
{txt}{space 22} {c |}
{space 7}military_signal#{c |}
{space 2}nonpersonalist_a_tss {c |}
{space 18}1 1  {c |}{col 24}{res}{space 2}-.6929304{col 36}{space 2} 1.074539{col 47}{space 1}   -0.64{col 56}{space 3}0.519{col 64}{space 4}-2.798989{col 77}{space 3} 1.413128
{txt}{space 22} {c |}
{space 7}1.democpolity_b {c |}{col 24}{res}{space 2} 1.252491{col 36}{space 2} .4161428{col 47}{space 1}    3.01{col 56}{space 3}0.003{col 64}{space 4}  .436866{col 77}{space 3} 2.068116
{txt}{space 11}theta2_mean {c |}{col 24}{res}{space 2}-.1571438{col 36}{space 2} .2320582{col 47}{space 1}   -0.68{col 56}{space 3}0.498{col 64}{space 4}-.6119695{col 77}{space 3} .2976819
{txt}{space 9}capshare_a_ks {c |}{col 24}{res}{space 2} -.482821{col 36}{space 2} .6386913{col 47}{space 1}   -0.76{col 56}{space 3}0.450{col 64}{space 4}-1.734633{col 77}{space 3} .7689908
{txt}{space 11}1.territory {c |}{col 24}{res}{space 2}-.4760949{col 36}{space 2} .3584784{col 47}{space 1}   -1.33{col 56}{space 3}0.184{col 64}{space 4}  -1.1787{col 77}{space 3} .2265098
{txt}{space 9}1.reparations {c |}{col 24}{res}{space 2} .0417358{col 36}{space 2} .5004362{col 47}{space 1}    0.08{col 56}{space 3}0.934{col 64}{space 4}-.9391012{col 77}{space 3} 1.022573
{txt}{space 10}1.leadership {c |}{col 24}{res}{space 2} 2.439274{col 36}{space 2} .7512758{col 47}{space 1}    3.25{col 56}{space 3}0.001{col 64}{space 4}    .9668{col 77}{space 3} 3.911747
{txt}{space 14}1.policy {c |}{col 24}{res}{space 2} .0816205{col 36}{space 2} .3386835{col 47}{space 1}    0.24{col 56}{space 3}0.810{col 64}{space 4} -.582187{col 77}{space 3}  .745428
{txt}{space 11}1.contig_ks {c |}{col 24}{res}{space 2} .1687592{col 36}{space 2} .3482667{col 47}{space 1}    0.48{col 56}{space 3}0.628{col 64}{space 4}-.5138311{col 77}{space 3} .8513494
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-3.129108{col 36}{space 2} 1.160127{col 47}{space 1}   -2.70{col 56}{space 3}0.007{col 64}{space 4}-5.402916{col 77}{space 3}-.8553004
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M8: logit success i.showofforce##democpolity_a i.mobilization##democpolity_a i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res:-130.59898}  
Iteration 2:{space 3}log pseudolikelihood = {res:-130.19229}  
Iteration 3:{space 3}log pseudolikelihood = {res:-130.19025}  
Iteration 4:{space 3}log pseudolikelihood = {res:-130.19025}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}     54.42
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-130.19025{txt}{col 49}Pseudo R2{col 67}= {res}    0.2139

{txt}{ralign 81:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        success{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.showofforce {c |}{col 17}{res}{space 2} .2493758{col 29}{space 2}  .763036{col 40}{space 1}    0.33{col 49}{space 3}0.744{col 57}{space 4}-1.246147{col 70}{space 3} 1.744899
{txt}1.democpolity_a {c |}{col 17}{res}{space 2}-.9657103{col 29}{space 2} .8204779{col 40}{space 1}   -1.18{col 49}{space 3}0.239{col 57}{space 4}-2.573817{col 70}{space 3} .6423969
{txt}{space 15} {c |}
{space 4}showofforce#{c |}
{space 2}democpolity_a {c |}
{space 11}1 1  {c |}{col 17}{res}{space 2} .9501429{col 29}{space 2} 1.270482{col 40}{space 1}    0.75{col 49}{space 3}0.455{col 57}{space 4}-1.539957{col 70}{space 3} 3.440242
{txt}{space 15} {c |}
{space 1}1.mobilization {c |}{col 17}{res}{space 2} 1.918229{col 29}{space 2} .5069979{col 40}{space 1}    3.78{col 49}{space 3}0.000{col 57}{space 4} .9245314{col 70}{space 3} 2.911927
{txt}{space 15} {c |}
{space 3}mobilization#{c |}
{space 2}democpolity_a {c |}
{space 11}1 1  {c |}{col 17}{res}{space 2} .9232232{col 29}{space 2} .8638675{col 40}{space 1}    1.07{col 49}{space 3}0.285{col 57}{space 4}-.7699259{col 70}{space 3} 2.616372
{txt}{space 15} {c |}
1.democpolity_b {c |}{col 17}{res}{space 2} 1.270836{col 29}{space 2} .4490698{col 40}{space 1}    2.83{col 49}{space 3}0.005{col 57}{space 4} .3906756{col 70}{space 3} 2.150997
{txt}{space 4}theta2_mean {c |}{col 17}{res}{space 2}-.4862569{col 29}{space 2} .2682401{col 40}{space 1}   -1.81{col 49}{space 3}0.070{col 57}{space 4}-1.011998{col 70}{space 3}  .039484
{txt}{space 2}capshare_a_ks {c |}{col 17}{res}{space 2}-.6514345{col 29}{space 2} .6495202{col 40}{space 1}   -1.00{col 49}{space 3}0.316{col 57}{space 4}-1.924471{col 70}{space 3} .6216017
{txt}{space 4}1.territory {c |}{col 17}{res}{space 2}-.6123464{col 29}{space 2} .3623974{col 40}{space 1}   -1.69{col 49}{space 3}0.091{col 57}{space 4}-1.322632{col 70}{space 3} .0979394
{txt}{space 2}1.reparations {c |}{col 17}{res}{space 2} .0308702{col 29}{space 2} .5127293{col 40}{space 1}    0.06{col 49}{space 3}0.952{col 57}{space 4}-.9740608{col 70}{space 3} 1.035801
{txt}{space 3}1.leadership {c |}{col 17}{res}{space 2} 2.169383{col 29}{space 2}  .600425{col 40}{space 1}    3.61{col 49}{space 3}0.000{col 57}{space 4} .9925721{col 70}{space 3} 3.346195
{txt}{space 7}1.policy {c |}{col 17}{res}{space 2}-.0182599{col 29}{space 2} .3260531{col 40}{space 1}   -0.06{col 49}{space 3}0.955{col 57}{space 4}-.6573121{col 70}{space 3} .6207924
{txt}{space 4}1.contig_ks {c |}{col 17}{res}{space 2} .0557894{col 29}{space 2} .3787515{col 40}{space 1}    0.15{col 49}{space 3}0.883{col 57}{space 4}-.6865499{col 70}{space 3} .7981287
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.252271{col 29}{space 2} .8160512{col 40}{space 1}   -1.53{col 49}{space 3}0.125{col 57}{space 4}-2.851702{col 70}{space 3} .3471596
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M10: logit success i.showofforce##democadv i.mobilization##democadv i.democpolity_a i.democpolity_b theta2_mean   c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res:-130.08807}  
Iteration 2:{space 3}log pseudolikelihood = {res:-129.64254}  
Iteration 3:{space 3}log pseudolikelihood = {res:-129.63861}  
Iteration 4:{space 3}log pseudolikelihood = {res: -129.6386}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}     52.49
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -129.6386{txt}{col 49}Pseudo R2{col 67}= {res}    0.2173

{txt}{ralign 87:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}              success{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}1.showofforce {c |}{col 23}{res}{space 2} 1.257064{col 35}{space 2} .8346721{col 46}{space 1}    1.51{col 55}{space 3}0.132{col 63}{space 4}-.3788631{col 76}{space 3} 2.892992
{txt}{space 11}1.democadv {c |}{col 23}{res}{space 2}-.3323092{col 35}{space 2} .8811904{col 46}{space 1}   -0.38{col 55}{space 3}0.706{col 63}{space 4}-2.059411{col 76}{space 3} 1.394792
{txt}{space 21} {c |}
{space 1}showofforce#democadv {c |}
{space 17}1 1  {c |}{col 23}{res}{space 2} -1.83679{col 35}{space 2}  1.12039{col 46}{space 1}   -1.64{col 55}{space 3}0.101{col 63}{space 4}-4.032715{col 76}{space 3} .3591341
{txt}{space 21} {c |}
{space 7}1.mobilization {c |}{col 23}{res}{space 2} 2.178491{col 35}{space 2} .6728314{col 46}{space 1}    3.24{col 55}{space 3}0.001{col 63}{space 4} .8597653{col 76}{space 3} 3.497216
{txt}{space 21} {c |}
mobilization#democadv {c |}
{space 17}1 1  {c |}{col 23}{res}{space 2} .1577995{col 35}{space 2} .8758347{col 46}{space 1}    0.18{col 55}{space 3}0.857{col 63}{space 4}-1.558805{col 76}{space 3} 1.874404
{txt}{space 21} {c |}
{space 6}1.democpolity_a {c |}{col 23}{res}{space 2}-.0663334{col 35}{space 2} .5200492{col 46}{space 1}   -0.13{col 55}{space 3}0.899{col 63}{space 4}-1.085611{col 76}{space 3} .9529444
{txt}{space 6}1.democpolity_b {c |}{col 23}{res}{space 2} 1.135839{col 35}{space 2} .4538179{col 46}{space 1}    2.50{col 55}{space 3}0.012{col 63}{space 4} .2463722{col 76}{space 3} 2.025306
{txt}{space 10}theta2_mean {c |}{col 23}{res}{space 2}-.5089209{col 35}{space 2} .2675155{col 46}{space 1}   -1.90{col 55}{space 3}0.057{col 63}{space 4}-1.033242{col 76}{space 3} .0153998
{txt}{space 8}capshare_a_ks {c |}{col 23}{res}{space 2} -.567096{col 35}{space 2} .6193469{col 46}{space 1}   -0.92{col 55}{space 3}0.360{col 63}{space 4}-1.780994{col 76}{space 3} .6468017
{txt}{space 10}1.territory {c |}{col 23}{res}{space 2}-.6454511{col 35}{space 2} .3758957{col 46}{space 1}   -1.72{col 55}{space 3}0.086{col 63}{space 4}-1.382193{col 76}{space 3}  .091291
{txt}{space 8}1.reparations {c |}{col 23}{res}{space 2}-.0545365{col 35}{space 2} .4823959{col 46}{space 1}   -0.11{col 55}{space 3}0.910{col 63}{space 4}-1.000015{col 76}{space 3} .8909421
{txt}{space 9}1.leadership {c |}{col 23}{res}{space 2} 2.176421{col 35}{space 2} .6617567{col 46}{space 1}    3.29{col 55}{space 3}0.001{col 63}{space 4} .8794016{col 76}{space 3}  3.47344
{txt}{space 13}1.policy {c |}{col 23}{res}{space 2} .0018914{col 35}{space 2} .3210968{col 46}{space 1}    0.01{col 55}{space 3}0.995{col 63}{space 4}-.6274468{col 76}{space 3} .6312295
{txt}{space 10}1.contig_ks {c |}{col 23}{res}{space 2} .0810228{col 35}{space 2} .3855188{col 46}{space 1}    0.21{col 55}{space 3}0.834{col 63}{space 4}  -.67458{col 76}{space 3} .8366257
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-1.424209{col 35}{space 2} .9580088{col 46}{space 1}   -1.49{col 55}{space 3}0.137{col 63}{space 4}-3.301872{col 76}{space 3} .4534534
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M12: logit success i.showofforce##nonpersonalist_a_tss i.mobilization##nonpersonalist_a_tss i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res:   -129.07}  
Iteration 2:{space 3}log pseudolikelihood = {res:-128.76059}  
Iteration 3:{space 3}log pseudolikelihood = {res:-128.75992}  
Iteration 4:{space 3}log pseudolikelihood = {res:-128.75992}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}     57.62
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-128.75992{txt}{col 49}Pseudo R2{col 67}= {res}    0.2226

{txt}{ralign 88:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}               success{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.showofforce {c |}{col 24}{res}{space 2} 1.909863{col 36}{space 2} 1.221416{col 47}{space 1}    1.56{col 56}{space 3}0.118{col 64}{space 4}-.4840681{col 77}{space 3} 4.303794
{txt}1.nonpersonalist_a_tss {c |}{col 24}{res}{space 2} 1.396748{col 36}{space 2} 1.075895{col 47}{space 1}    1.30{col 56}{space 3}0.194{col 64}{space 4}-.7119666{col 77}{space 3} 3.505462
{txt}{space 22} {c |}
{space 11}showofforce#{c |}
{space 2}nonpersonalist_a_tss {c |}
{space 18}1 1  {c |}{col 24}{res}{space 2}-1.611845{col 36}{space 2} 1.394125{col 47}{space 1}   -1.16{col 56}{space 3}0.248{col 64}{space 4} -4.34428{col 77}{space 3} 1.120589
{txt}{space 22} {c |}
{space 8}1.mobilization {c |}{col 24}{res}{space 2} 2.796095{col 36}{space 2} .9648809{col 47}{space 1}    2.90{col 56}{space 3}0.004{col 64}{space 4} .9049634{col 77}{space 3} 4.687227
{txt}{space 22} {c |}
{space 10}mobilization#{c |}
{space 2}nonpersonalist_a_tss {c |}
{space 18}1 1  {c |}{col 24}{res}{space 2}-.6016735{col 36}{space 2} 1.083428{col 47}{space 1}   -0.56{col 56}{space 3}0.579{col 64}{space 4}-2.725153{col 77}{space 3} 1.521806
{txt}{space 22} {c |}
{space 7}1.democpolity_b {c |}{col 24}{res}{space 2} 1.351662{col 36}{space 2} .4258574{col 47}{space 1}    3.17{col 56}{space 3}0.002{col 64}{space 4} .5169969{col 77}{space 3} 2.186327
{txt}{space 11}theta2_mean {c |}{col 24}{res}{space 2} -.213944{col 36}{space 2} .2457627{col 47}{space 1}   -0.87{col 56}{space 3}0.384{col 64}{space 4}-.6956301{col 77}{space 3} .2677421
{txt}{space 9}capshare_a_ks {c |}{col 24}{res}{space 2}-.4093002{col 36}{space 2} .6660351{col 47}{space 1}   -0.61{col 56}{space 3}0.539{col 64}{space 4}-1.714705{col 77}{space 3} .8961045
{txt}{space 11}1.territory {c |}{col 24}{res}{space 2}-.4258022{col 36}{space 2} .3785008{col 47}{space 1}   -1.12{col 56}{space 3}0.261{col 64}{space 4} -1.16765{col 77}{space 3} .3160457
{txt}{space 9}1.reparations {c |}{col 24}{res}{space 2} -.060406{col 36}{space 2} .5116907{col 47}{space 1}   -0.12{col 56}{space 3}0.906{col 64}{space 4}-1.063301{col 77}{space 3} .9424894
{txt}{space 10}1.leadership {c |}{col 24}{res}{space 2} 2.487559{col 36}{space 2} .8006328{col 47}{space 1}    3.11{col 56}{space 3}0.002{col 64}{space 4} .9183474{col 77}{space 3}  4.05677
{txt}{space 14}1.policy {c |}{col 24}{res}{space 2} .1531955{col 36}{space 2}  .346715{col 47}{space 1}    0.44{col 56}{space 3}0.659{col 64}{space 4}-.5263534{col 77}{space 3} .8327445
{txt}{space 11}1.contig_ks {c |}{col 24}{res}{space 2} .2033065{col 36}{space 2}  .364997{col 47}{space 1}    0.56{col 56}{space 3}0.578{col 64}{space 4}-.5120745{col 77}{space 3} .9186875
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-3.299045{col 36}{space 2} 1.169778{col 47}{space 1}   -2.82{col 56}{space 3}0.005{col 64}{space 4}-5.591769{col 77}{space 3}-1.006322
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. esttab M7 M9 M11 M8 M10 M12, se(3) pr2 b(3) star(+ 0.10 * 0.05 ** 0.01 *** 0.001)
{res}
{txt}{hline 108}
{txt}                      (1)             (2)             (3)             (4)             (5)             (6)   
{txt}                  success         success         success         success         success         success   
{txt}{hline 108}
{res}success                                                                                                     {txt}
{txt}0.military~l{res}        0.000           0.000           0.000                                                   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}                                                   {txt}

{txt}1.military~l{res}        1.772***        2.017**         2.718**                                                 {txt}
            {res} {ralign 12:{txt:(}0.507{txt:)}}    {ralign 12:{txt:(}0.656{txt:)}}    {ralign 12:{txt:(}0.958{txt:)}}                                                   {txt}

{txt}0.democpol~a{res}        0.000           0.000                           0.000           0.000                   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}1.democpol~a{res}       -0.974          -0.048                          -0.966          -0.066                   {txt}
            {res} {ralign 12:{txt:(}0.821{txt:)}}    {ralign 12:{txt:(}0.499{txt:)}}                    {ralign 12:{txt:(}0.820{txt:)}}    {ralign 12:{txt:(}0.520{txt:)}}                   {txt}

{txt}0.military~a{res}        0.000                                                                                   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}                                                                                   {txt}

{txt}0.military~a{res}        0.000                                                                                   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}                                                                                   {txt}

{txt}1.military~a{res}        0.000                                                                                   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}                                                                                   {txt}

{txt}1.military~a{res}        0.939                                                                                   {txt}
            {res} {ralign 12:{txt:(}0.858{txt:)}}                                                                                   {txt}

{txt}0.democpol~b{res}        0.000           0.000           0.000           0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.democpol~b{res}        1.205**         0.988*          1.252**         1.271**         1.136*          1.352** {txt}
            {res} {ralign 12:{txt:(}0.434{txt:)}}    {ralign 12:{txt:(}0.434{txt:)}}    {ralign 12:{txt:(}0.416{txt:)}}    {ralign 12:{txt:(}0.449{txt:)}}    {ralign 12:{txt:(}0.454{txt:)}}    {ralign 12:{txt:(}0.426{txt:)}}   {txt}

{txt}theta2_mean {res}       -0.415          -0.433+         -0.157          -0.486+         -0.509+         -0.214   {txt}
            {res} {ralign 12:{txt:(}0.253{txt:)}}    {ralign 12:{txt:(}0.251{txt:)}}    {ralign 12:{txt:(}0.232{txt:)}}    {ralign 12:{txt:(}0.268{txt:)}}    {ralign 12:{txt:(}0.268{txt:)}}    {ralign 12:{txt:(}0.246{txt:)}}   {txt}

{txt}capshare_a~s{res}       -0.705          -0.735          -0.483          -0.651          -0.567          -0.409   {txt}
            {res} {ralign 12:{txt:(}0.625{txt:)}}    {ralign 12:{txt:(}0.591{txt:)}}    {ralign 12:{txt:(}0.639{txt:)}}    {ralign 12:{txt:(}0.650{txt:)}}    {ralign 12:{txt:(}0.619{txt:)}}    {ralign 12:{txt:(}0.666{txt:)}}   {txt}

{txt}0.territory {res}        0.000           0.000           0.000           0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.territory {res}       -0.635+         -0.671+         -0.476          -0.612+         -0.645+         -0.426   {txt}
            {res} {ralign 12:{txt:(}0.343{txt:)}}    {ralign 12:{txt:(}0.350{txt:)}}    {ralign 12:{txt:(}0.358{txt:)}}    {ralign 12:{txt:(}0.362{txt:)}}    {ralign 12:{txt:(}0.376{txt:)}}    {ralign 12:{txt:(}0.379{txt:)}}   {txt}

{txt}0.reparati~s{res}        0.000           0.000           0.000           0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.reparati~s{res}        0.129           0.027           0.042           0.031          -0.055          -0.060   {txt}
            {res} {ralign 12:{txt:(}0.515{txt:)}}    {ralign 12:{txt:(}0.480{txt:)}}    {ralign 12:{txt:(}0.500{txt:)}}    {ralign 12:{txt:(}0.513{txt:)}}    {ralign 12:{txt:(}0.482{txt:)}}    {ralign 12:{txt:(}0.512{txt:)}}   {txt}

{txt}0.leadership{res}        0.000           0.000           0.000           0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.leadership{res}        2.101***        2.082***        2.439**         2.169***        2.176**         2.488** {txt}
            {res} {ralign 12:{txt:(}0.573{txt:)}}    {ralign 12:{txt:(}0.614{txt:)}}    {ralign 12:{txt:(}0.751{txt:)}}    {ralign 12:{txt:(}0.600{txt:)}}    {ralign 12:{txt:(}0.662{txt:)}}    {ralign 12:{txt:(}0.801{txt:)}}   {txt}

{txt}0.policy    {res}        0.000           0.000           0.000           0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.policy    {res}       -0.074          -0.026           0.082          -0.018           0.002           0.153   {txt}
            {res} {ralign 12:{txt:(}0.327{txt:)}}    {ralign 12:{txt:(}0.319{txt:)}}    {ralign 12:{txt:(}0.339{txt:)}}    {ralign 12:{txt:(}0.326{txt:)}}    {ralign 12:{txt:(}0.321{txt:)}}    {ralign 12:{txt:(}0.347{txt:)}}   {txt}

{txt}0.contig_ks {res}        0.000           0.000           0.000           0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.contig_ks {res}        0.031           0.025           0.169           0.056           0.081           0.203   {txt}
            {res} {ralign 12:{txt:(}0.369{txt:)}}    {ralign 12:{txt:(}0.368{txt:)}}    {ralign 12:{txt:(}0.348{txt:)}}    {ralign 12:{txt:(}0.379{txt:)}}    {ralign 12:{txt:(}0.386{txt:)}}    {ralign 12:{txt:(}0.365{txt:)}}   {txt}

{txt}0.democadv  {res}                        0.000                                           0.000                   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                                    {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}1.democadv  {res}                       -0.413                                          -0.332                   {txt}
            {res}                 {ralign 12:{txt:(}0.856{txt:)}}                                    {ralign 12:{txt:(}0.881{txt:)}}                   {txt}

{txt}0.military~v{res}                        0.000                                                                   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                                                                   {txt}

{txt}0.military~v{res}                        0.000                                                                   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                                                                   {txt}

{txt}1.military~v{res}                        0.000                                                                   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                                                                   {txt}

{txt}1.military~v{res}                        0.127                                                                   {txt}
            {res}                 {ralign 12:{txt:(}0.857{txt:)}}                                                                   {txt}

{txt}0.nonperso~s{res}                                        0.000                                           0.000   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}                                    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.nonperso~s{res}                                        1.386                                           1.397   {txt}
            {res}                                 {ralign 12:{txt:(}1.064{txt:)}}                                    {ralign 12:{txt:(}1.076{txt:)}}   {txt}

{txt}0.military~t{res}                                        0.000                                                   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}                                                   {txt}

{txt}0.military~t{res}                                        0.000                                                   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}                                                   {txt}

{txt}1.military~t{res}                                        0.000                                                   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}                                                   {txt}

{txt}1.military~t{res}                                       -0.693                                                   {txt}
            {res}                                 {ralign 12:{txt:(}1.075{txt:)}}                                                   {txt}

{txt}0.showoffo~e{res}                                                        0.000           0.000           0.000   {txt}
            {res}                                                 {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.showoffo~e{res}                                                        0.249           1.257           1.910   {txt}
            {res}                                                 {ralign 12:{txt:(}0.763{txt:)}}    {ralign 12:{txt:(}0.835{txt:)}}    {ralign 12:{txt:(}1.221{txt:)}}   {txt}

{txt}0.showoffo~a{res}                                                        0.000                                   {txt}
            {res}                                                 {ralign 12:{txt:(}.{txt:)}}                                   {txt}

{txt}0.showoffo~a{res}                                                        0.000                                   {txt}
            {res}                                                 {ralign 12:{txt:(}.{txt:)}}                                   {txt}

{txt}1.showoffo~a{res}                                                        0.000                                   {txt}
            {res}                                                 {ralign 12:{txt:(}.{txt:)}}                                   {txt}

{txt}1.showoffo~a{res}                                                        0.950                                   {txt}
            {res}                                                 {ralign 12:{txt:(}1.270{txt:)}}                                   {txt}

{txt}0.mobiliza~n{res}                                                        0.000           0.000           0.000   {txt}
            {res}                                                 {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.mobiliza~n{res}                                                        1.918***        2.178**         2.796** {txt}
            {res}                                                 {ralign 12:{txt:(}0.507{txt:)}}    {ralign 12:{txt:(}0.673{txt:)}}    {ralign 12:{txt:(}0.965{txt:)}}   {txt}

{txt}0.mobiliza~a{res}                                                        0.000                                   {txt}
            {res}                                                 {ralign 12:{txt:(}.{txt:)}}                                   {txt}

{txt}0.mobiliza~a{res}                                                        0.000                                   {txt}
            {res}                                                 {ralign 12:{txt:(}.{txt:)}}                                   {txt}

{txt}1.mobiliza~a{res}                                                        0.000                                   {txt}
            {res}                                                 {ralign 12:{txt:(}.{txt:)}}                                   {txt}

{txt}1.mobiliza~a{res}                                                        0.923                                   {txt}
            {res}                                                 {ralign 12:{txt:(}0.864{txt:)}}                                   {txt}

{txt}0.showoffo~v{res}                                                                        0.000                   {txt}
            {res}                                                                 {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}0.showoffo~v{res}                                                                        0.000                   {txt}
            {res}                                                                 {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}1.showoffo~v{res}                                                                        0.000                   {txt}
            {res}                                                                 {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}1.showoffo~v{res}                                                                       -1.837                   {txt}
            {res}                                                                 {ralign 12:{txt:(}1.120{txt:)}}                   {txt}

{txt}0.mobiliza~v{res}                                                                        0.000                   {txt}
            {res}                                                                 {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}0.mobiliza~v{res}                                                                        0.000                   {txt}
            {res}                                                                 {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}1.mobiliza~v{res}                                                                        0.000                   {txt}
            {res}                                                                 {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}1.mobiliza~v{res}                                                                        0.158                   {txt}
            {res}                                                                 {ralign 12:{txt:(}0.876{txt:)}}                   {txt}

{txt}0.showoffo~t{res}                                                                                        0.000   {txt}
            {res}                                                                                 {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}0.showoffo~t{res}                                                                                        0.000   {txt}
            {res}                                                                                 {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.showoffo~t{res}                                                                                        0.000   {txt}
            {res}                                                                                 {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.showoffo~t{res}                                                                                       -1.612   {txt}
            {res}                                                                                 {ralign 12:{txt:(}1.394{txt:)}}   {txt}

{txt}0.mobiliza~_{res}                                                                                        0.000   {txt}
            {res}                                                                                 {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}0.mobiliza~_{res}                                                                                        0.000   {txt}
            {res}                                                                                 {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.mobiliza~_{res}                                                                                        0.000   {txt}
            {res}                                                                                 {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.mobiliza~_{res}                                                                                       -0.602   {txt}
            {res}                                                                                 {ralign 12:{txt:(}1.083{txt:)}}   {txt}

{txt}_cons       {res}       -1.142          -1.140          -3.129**        -1.252          -1.424          -3.299** {txt}
            {res} {ralign 12:{txt:(}0.813{txt:)}}    {ralign 12:{txt:(}0.930{txt:)}}    {ralign 12:{txt:(}1.160{txt:)}}    {ralign 12:{txt:(}0.816{txt:)}}    {ralign 12:{txt:(}0.958{txt:)}}    {ralign 12:{txt:(}1.170{txt:)}}   {txt}
{txt}{hline 108}
{txt}N           {res}          242             242             242             242             242             242   {txt}
{txt}pseudo R-sq {res}        0.196           0.195           0.203           0.214           0.217           0.223   {txt}
{txt}{hline 108}
{txt}Standard errors in parentheses
{txt}+ p<0.10, * p<0.05, ** p<0.01, *** p<0.001

{com}. 
. 
. ********** FIGURE 2: Marginal Effect of Regime Type ********** 
. 
. * Ordered logit models
. eststo M7o: ologit success3 i.military_signal##democpolity_a i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-202.93491}  
Iteration 1:{space 3}log pseudolikelihood = {res: -166.6788}  
Iteration 2:{space 3}log pseudolikelihood = {res:-166.00113}  
Iteration 3:{space 3}log pseudolikelihood = {res:-165.99592}  
Iteration 4:{space 3}log pseudolikelihood = {res:-165.99592}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     51.70
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-165.99592{txt}{col 49}Pseudo R2{col 67}= {res}    0.1820

{txt}{ralign 83:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}         success3{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.military_signal {c |}{col 19}{res}{space 2} 1.838294{col 31}{space 2} .5186529{col 42}{space 1}    3.54{col 51}{space 3}0.000{col 59}{space 4} .8217531{col 72}{space 3} 2.854835
{txt}{space 2}1.democpolity_a {c |}{col 19}{res}{space 2} -1.11208{col 31}{space 2} .8375978{col 42}{space 1}   -1.33{col 51}{space 3}0.184{col 59}{space 4}-2.753742{col 72}{space 3} .5295812
{txt}{space 17} {c |}
{space 2}military_signal#{c |}
{space 4}democpolity_a {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2} .9899992{col 31}{space 2} .8760601{col 42}{space 1}    1.13{col 51}{space 3}0.258{col 59}{space 4} -.727047{col 72}{space 3} 2.707045
{txt}{space 17} {c |}
{space 2}1.democpolity_b {c |}{col 19}{res}{space 2}  1.32394{col 31}{space 2}  .462766{col 42}{space 1}    2.86{col 51}{space 3}0.004{col 59}{space 4} .4169355{col 72}{space 3} 2.230945
{txt}{space 6}theta2_mean {c |}{col 19}{res}{space 2} -.400648{col 31}{space 2} .2403988{col 42}{space 1}   -1.67{col 51}{space 3}0.096{col 59}{space 4} -.871821{col 72}{space 3}  .070525
{txt}{space 4}capshare_a_ks {c |}{col 19}{res}{space 2}-.8079846{col 31}{space 2} .6461573{col 42}{space 1}   -1.25{col 51}{space 3}0.211{col 59}{space 4} -2.07443{col 72}{space 3} .4584604
{txt}{space 6}1.territory {c |}{col 19}{res}{space 2}-.5618197{col 31}{space 2} .3563947{col 42}{space 1}   -1.58{col 51}{space 3}0.115{col 59}{space 4} -1.26034{col 72}{space 3} .1367011
{txt}{space 4}1.reparations {c |}{col 19}{res}{space 2}-.0570732{col 31}{space 2} .4404939{col 42}{space 1}   -0.13{col 51}{space 3}0.897{col 59}{space 4}-.9204253{col 72}{space 3} .8062789
{txt}{space 5}1.leadership {c |}{col 19}{res}{space 2} 2.341872{col 31}{space 2} .5965745{col 42}{space 1}    3.93{col 51}{space 3}0.000{col 59}{space 4} 1.172608{col 72}{space 3} 3.511137
{txt}{space 9}1.policy {c |}{col 19}{res}{space 2}-.0737112{col 31}{space 2} .3388518{col 42}{space 1}   -0.22{col 51}{space 3}0.828{col 59}{space 4}-.7378485{col 72}{space 3} .5904261
{txt}{space 6}1.contig_ks {c |}{col 19}{res}{space 2}-.0005887{col 31}{space 2} .3780901{col 42}{space 1}   -0.00{col 51}{space 3}0.999{col 59}{space 4}-.7416317{col 72}{space 3} .7404543
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}/cut1 {c |}{col 19}{res}{space 2} 1.133871{col 31}{space 2} .8445723{col 59}{space 4}-.5214605{col 72}{space 3} 2.789202
{txt}{space 12}/cut2 {c |}{col 19}{res}{space 2} 1.409665{col 31}{space 2} .8444226{col 59}{space 4}-.2453731{col 72}{space 3} 3.064703
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M8o: ologit success3 i.showofforce##democpolity_a i.mobilization##democpolity_a i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-202.93491}  
Iteration 1:{space 3}log pseudolikelihood = {res:-163.78188}  
Iteration 2:{space 3}log pseudolikelihood = {res:  -163.123}  
Iteration 3:{space 3}log pseudolikelihood = {res:-163.11866}  
Iteration 4:{space 3}log pseudolikelihood = {res:-163.11866}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}     56.19
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-163.11866{txt}{col 49}Pseudo R2{col 67}= {res}    0.1962

{txt}{ralign 81:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       success3{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.showofforce {c |}{col 17}{res}{space 2} .3491455{col 29}{space 2} .7735708{col 40}{space 1}    0.45{col 49}{space 3}0.652{col 57}{space 4}-1.167025{col 70}{space 3} 1.865316
{txt}1.democpolity_a {c |}{col 17}{res}{space 2}-1.094558{col 29}{space 2} .8351987{col 40}{space 1}   -1.31{col 49}{space 3}0.190{col 57}{space 4}-2.731518{col 70}{space 3} .5424009
{txt}{space 15} {c |}
{space 4}showofforce#{c |}
{space 2}democpolity_a {c |}
{space 11}1 1  {c |}{col 17}{res}{space 2} 1.003291{col 29}{space 2} 1.301758{col 40}{space 1}    0.77{col 49}{space 3}0.441{col 57}{space 4}-1.548108{col 70}{space 3}  3.55469
{txt}{space 15} {c |}
{space 1}1.mobilization {c |}{col 17}{res}{space 2} 1.982671{col 29}{space 2} .5219175{col 40}{space 1}    3.80{col 49}{space 3}0.000{col 57}{space 4}  .959731{col 70}{space 3}  3.00561
{txt}{space 15} {c |}
{space 3}mobilization#{c |}
{space 2}democpolity_a {c |}
{space 11}1 1  {c |}{col 17}{res}{space 2} .9572933{col 29}{space 2} .8774934{col 40}{space 1}    1.09{col 49}{space 3}0.275{col 57}{space 4}-.7625622{col 70}{space 3} 2.677149
{txt}{space 15} {c |}
1.democpolity_b {c |}{col 17}{res}{space 2} 1.390757{col 29}{space 2} .4776358{col 40}{space 1}    2.91{col 49}{space 3}0.004{col 57}{space 4} .4546079{col 70}{space 3} 2.326906
{txt}{space 4}theta2_mean {c |}{col 17}{res}{space 2}-.4642657{col 29}{space 2} .2522721{col 40}{space 1}   -1.84{col 49}{space 3}0.066{col 57}{space 4}  -.95871{col 70}{space 3} .0301786
{txt}{space 2}capshare_a_ks {c |}{col 17}{res}{space 2}-.7660673{col 29}{space 2} .6705026{col 40}{space 1}   -1.14{col 49}{space 3}0.253{col 57}{space 4}-2.080228{col 70}{space 3} .5480936
{txt}{space 4}1.territory {c |}{col 17}{res}{space 2}-.5342366{col 29}{space 2} .3771756{col 40}{space 1}   -1.42{col 49}{space 3}0.157{col 57}{space 4}-1.273487{col 70}{space 3}  .205014
{txt}{space 2}1.reparations {c |}{col 17}{res}{space 2}-.1542346{col 29}{space 2}  .438856{col 40}{space 1}   -0.35{col 49}{space 3}0.725{col 57}{space 4}-1.014377{col 70}{space 3} .7059074
{txt}{space 3}1.leadership {c |}{col 17}{res}{space 2} 2.418166{col 29}{space 2} .6255957{col 40}{space 1}    3.87{col 49}{space 3}0.000{col 57}{space 4} 1.192021{col 70}{space 3} 3.644311
{txt}{space 7}1.policy {c |}{col 17}{res}{space 2}-.0214337{col 29}{space 2} .3374685{col 40}{space 1}   -0.06{col 49}{space 3}0.949{col 57}{space 4}-.6828598{col 70}{space 3} .6399925
{txt}{space 4}1.contig_ks {c |}{col 17}{res}{space 2} .0196359{col 29}{space 2} .3865065{col 40}{space 1}    0.05{col 49}{space 3}0.959{col 57}{space 4}-.7379028{col 70}{space 3} .7771747
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2} 1.236972{col 29}{space 2} .8499464{col 57}{space 4}-.4288924{col 70}{space 3} 2.902836
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2}  1.51916{col 29}{space 2} .8488291{col 57}{space 4}-.1445142{col 70}{space 3} 3.182835
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M9o: ologit success3 i.military_signal##democadv i.democpolity_a i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-202.93491}  
Iteration 1:{space 3}log pseudolikelihood = {res:-166.66727}  
Iteration 2:{space 3}log pseudolikelihood = {res:-166.09601}  
Iteration 3:{space 3}log pseudolikelihood = {res:-166.09298}  
Iteration 4:{space 3}log pseudolikelihood = {res:-166.09298}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     53.62
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-166.09298{txt}{col 49}Pseudo R2{col 67}= {res}    0.1815

{txt}{ralign 90:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                success3{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}1.military_signal {c |}{col 26}{res}{space 2} 2.125514{col 38}{space 2} .6916446{col 49}{space 1}    3.07{col 58}{space 3}0.002{col 66}{space 4} .7699155{col 79}{space 3} 3.481113
{txt}{space 14}1.democadv {c |}{col 26}{res}{space 2}-.4503525{col 38}{space 2} .8706895{col 49}{space 1}   -0.52{col 58}{space 3}0.605{col 66}{space 4}-2.156873{col 79}{space 3} 1.256168
{txt}{space 24} {c |}
military_signal#democadv {c |}
{space 20}1 1  {c |}{col 26}{res}{space 2} .0646807{col 38}{space 2} .8710916{col 49}{space 1}    0.07{col 58}{space 3}0.941{col 66}{space 4}-1.642628{col 79}{space 3} 1.771989
{txt}{space 24} {c |}
{space 9}1.democpolity_a {c |}{col 26}{res}{space 2}-.0952528{col 38}{space 2} .5057508{col 49}{space 1}   -0.19{col 58}{space 3}0.851{col 66}{space 4}-1.086506{col 79}{space 3} .8960006
{txt}{space 9}1.democpolity_b {c |}{col 26}{res}{space 2} 1.047416{col 38}{space 2} .4527931{col 49}{space 1}    2.31{col 58}{space 3}0.021{col 66}{space 4}  .159958{col 79}{space 3} 1.934874
{txt}{space 13}theta2_mean {c |}{col 26}{res}{space 2} -.427725{col 38}{space 2}  .241338{col 49}{space 1}   -1.77{col 58}{space 3}0.076{col 66}{space 4}-.9007388{col 79}{space 3} .0452888
{txt}{space 11}capshare_a_ks {c |}{col 26}{res}{space 2}-.8490955{col 38}{space 2} .6048055{col 49}{space 1}   -1.40{col 58}{space 3}0.160{col 66}{space 4}-2.034492{col 79}{space 3} .3363014
{txt}{space 13}1.territory {c |}{col 26}{res}{space 2}-.6053831{col 38}{space 2} .3618103{col 49}{space 1}   -1.67{col 58}{space 3}0.094{col 66}{space 4}-1.314518{col 79}{space 3}  .103752
{txt}{space 11}1.reparations {c |}{col 26}{res}{space 2}-.1747134{col 38}{space 2} .4097163{col 49}{space 1}   -0.43{col 58}{space 3}0.670{col 66}{space 4}-.9777426{col 79}{space 3} .6283157
{txt}{space 12}1.leadership {c |}{col 26}{res}{space 2} 2.310809{col 38}{space 2} .6393502{col 49}{space 1}    3.61{col 58}{space 3}0.000{col 66}{space 4} 1.057706{col 79}{space 3} 3.563913
{txt}{space 16}1.policy {c |}{col 26}{res}{space 2}-.0178898{col 38}{space 2} .3267019{col 49}{space 1}   -0.05{col 58}{space 3}0.956{col 66}{space 4}-.6582138{col 79}{space 3} .6224342
{txt}{space 13}1.contig_ks {c |}{col 26}{res}{space 2}-.0019762{col 38}{space 2} .3743704{col 49}{space 1}   -0.01{col 58}{space 3}0.996{col 66}{space 4}-.7357287{col 79}{space 3} .7317762
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}/cut1 {c |}{col 26}{res}{space 2} 1.108857{col 38}{space 2} .9647553{col 66}{space 4}-.7820289{col 79}{space 3} 2.999742
{txt}{space 19}/cut2 {c |}{col 26}{res}{space 2} 1.384578{col 38}{space 2} .9702777{col 66}{space 4}-.5171319{col 79}{space 3} 3.286287
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M10o: ologit success3 i.showofforce##democadv i.mobilization##democadv i.democpolity_a i.democpolity_b theta2_mean   c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-202.93491}  
Iteration 1:{space 3}log pseudolikelihood = {res:-163.15876}  
Iteration 2:{space 3}log pseudolikelihood = {res:-162.47381}  
Iteration 3:{space 3}log pseudolikelihood = {res:-162.46877}  
Iteration 4:{space 3}log pseudolikelihood = {res:-162.46877}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}     54.66
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-162.46877{txt}{col 49}Pseudo R2{col 67}= {res}    0.1994

{txt}{ralign 87:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}             success3{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}1.showofforce {c |}{col 23}{res}{space 2} 1.333477{col 35}{space 2} .8657841{col 46}{space 1}    1.54{col 55}{space 3}0.124{col 63}{space 4}-.3634287{col 76}{space 3} 3.030383
{txt}{space 11}1.democadv {c |}{col 23}{res}{space 2}-.3656728{col 35}{space 2} .8957506{col 46}{space 1}   -0.41{col 55}{space 3}0.683{col 63}{space 4}-2.121312{col 76}{space 3} 1.389966
{txt}{space 21} {c |}
{space 1}showofforce#democadv {c |}
{space 17}1 1  {c |}{col 23}{res}{space 2}  -1.7814{col 35}{space 2} 1.148613{col 46}{space 1}   -1.55{col 55}{space 3}0.121{col 63}{space 4}-4.032639{col 76}{space 3} .4698398
{txt}{space 21} {c |}
{space 7}1.mobilization {c |}{col 23}{res}{space 2} 2.292732{col 35}{space 2} .7109384{col 46}{space 1}    3.22{col 55}{space 3}0.001{col 63}{space 4} .8993186{col 76}{space 3} 3.686146
{txt}{space 21} {c |}
mobilization#democadv {c |}
{space 17}1 1  {c |}{col 23}{res}{space 2} .0731201{col 35}{space 2}  .888334{col 46}{space 1}    0.08{col 55}{space 3}0.934{col 63}{space 4}-1.667982{col 76}{space 3} 1.814223
{txt}{space 21} {c |}
{space 6}1.democpolity_a {c |}{col 23}{res}{space 2}-.1094444{col 35}{space 2}  .526837{col 46}{space 1}   -0.21{col 55}{space 3}0.835{col 63}{space 4}-1.142026{col 76}{space 3} .9231372
{txt}{space 6}1.democpolity_b {c |}{col 23}{res}{space 2} 1.192489{col 35}{space 2} .4729255{col 46}{space 1}    2.52{col 55}{space 3}0.012{col 63}{space 4}  .265572{col 76}{space 3} 2.119406
{txt}{space 10}theta2_mean {c |}{col 23}{res}{space 2}-.4949175{col 35}{space 2} .2546044{col 46}{space 1}   -1.94{col 55}{space 3}0.052{col 63}{space 4}-.9939329{col 76}{space 3} .0040978
{txt}{space 8}capshare_a_ks {c |}{col 23}{res}{space 2}-.7025327{col 35}{space 2} .6320324{col 46}{space 1}   -1.11{col 55}{space 3}0.266{col 63}{space 4}-1.941293{col 76}{space 3} .5362281
{txt}{space 10}1.territory {c |}{col 23}{res}{space 2}-.5720939{col 35}{space 2} .3894611{col 46}{space 1}   -1.47{col 55}{space 3}0.142{col 63}{space 4}-1.335424{col 76}{space 3} .1912359
{txt}{space 8}1.reparations {c |}{col 23}{res}{space 2}-.2526033{col 35}{space 2} .4134411{col 46}{space 1}   -0.61{col 55}{space 3}0.541{col 63}{space 4}-1.062933{col 76}{space 3} .5577264
{txt}{space 9}1.leadership {c |}{col 23}{res}{space 2} 2.419154{col 35}{space 2} .6897975{col 46}{space 1}    3.51{col 55}{space 3}0.000{col 63}{space 4} 1.067175{col 76}{space 3} 3.771132
{txt}{space 13}1.policy {c |}{col 23}{res}{space 2} .0080479{col 35}{space 2} .3282716{col 46}{space 1}    0.02{col 55}{space 3}0.980{col 63}{space 4}-.6353526{col 76}{space 3} .6514484
{txt}{space 10}1.contig_ks {c |}{col 23}{res}{space 2} .0506571{col 35}{space 2} .3899086{col 46}{space 1}    0.13{col 55}{space 3}0.897{col 63}{space 4}-.7135498{col 76}{space 3}  .814864
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}/cut1 {c |}{col 23}{res}{space 2} 1.382105{col 35}{space 2} .9936201{col 63}{space 4} -.565355{col 76}{space 3} 3.329564
{txt}{space 16}/cut2 {c |}{col 23}{res}{space 2}  1.66564{col 35}{space 2} .9996299{col 63}{space 4}-.2935982{col 76}{space 3} 3.624879
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M11o: ologit success3 i.military_signal##nonpersonalist_a_tss i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-202.93491}  
Iteration 1:{space 3}log pseudolikelihood = {res: -165.4426}  
Iteration 2:{space 3}log pseudolikelihood = {res:-165.02325}  
Iteration 3:{space 3}log pseudolikelihood = {res:-165.02194}  
Iteration 4:{space 3}log pseudolikelihood = {res:-165.02194}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     55.29
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-165.02194{txt}{col 49}Pseudo R2{col 67}= {res}    0.1868

{txt}{ralign 88:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              success3{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.military_signal {c |}{col 24}{res}{space 2} 2.873812{col 36}{space 2} 1.010983{col 47}{space 1}    2.84{col 56}{space 3}0.004{col 64}{space 4} .8923211{col 77}{space 3} 4.855302
{txt}1.nonpersonalist_a_tss {c |}{col 24}{res}{space 2} 1.478215{col 36}{space 2} 1.116912{col 47}{space 1}    1.32{col 56}{space 3}0.186{col 64}{space 4}-.7108923{col 77}{space 3} 3.667323
{txt}{space 22} {c |}
{space 7}military_signal#{c |}
{space 2}nonpersonalist_a_tss {c |}
{space 18}1 1  {c |}{col 24}{res}{space 2}-.7950919{col 36}{space 2} 1.116419{col 47}{space 1}   -0.71{col 56}{space 3}0.476{col 64}{space 4}-2.983232{col 77}{space 3} 1.393048
{txt}{space 22} {c |}
{space 7}1.democpolity_b {c |}{col 24}{res}{space 2} 1.356516{col 36}{space 2}  .431748{col 47}{space 1}    3.14{col 56}{space 3}0.002{col 64}{space 4} .5103054{col 77}{space 3} 2.202726
{txt}{space 11}theta2_mean {c |}{col 24}{res}{space 2}-.1182425{col 36}{space 2} .2299591{col 47}{space 1}   -0.51{col 56}{space 3}0.607{col 64}{space 4}-.5689541{col 77}{space 3} .3324691
{txt}{space 9}capshare_a_ks {c |}{col 24}{res}{space 2}-.6162577{col 36}{space 2} .6566752{col 47}{space 1}   -0.94{col 56}{space 3}0.348{col 64}{space 4}-1.903317{col 77}{space 3}  .670802
{txt}{space 11}1.territory {c |}{col 24}{res}{space 2}-.3669918{col 36}{space 2} .3760718{col 47}{space 1}   -0.98{col 56}{space 3}0.329{col 64}{space 4}-1.104079{col 77}{space 3} .3700952
{txt}{space 9}1.reparations {c |}{col 24}{res}{space 2}-.1557942{col 36}{space 2} .4307575{col 47}{space 1}   -0.36{col 56}{space 3}0.718{col 64}{space 4}-1.000063{col 77}{space 3}  .688475
{txt}{space 10}1.leadership {c |}{col 24}{res}{space 2} 2.736314{col 36}{space 2} .7910014{col 47}{space 1}    3.46{col 56}{space 3}0.001{col 64}{space 4} 1.185979{col 77}{space 3} 4.286648
{txt}{space 14}1.policy {c |}{col 24}{res}{space 2} .1112996{col 36}{space 2} .3482548{col 47}{space 1}    0.32{col 56}{space 3}0.749{col 64}{space 4}-.5712671{col 77}{space 3} .7938664
{txt}{space 11}1.contig_ks {c |}{col 24}{res}{space 2} .1566234{col 36}{space 2}  .344988{col 47}{space 1}    0.45{col 56}{space 3}0.650{col 64}{space 4}-.5195407{col 77}{space 3} .8327876
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}/cut1 {c |}{col 24}{res}{space 2} 3.270012{col 36}{space 2} 1.218896{col 64}{space 4} .8810194{col 77}{space 3} 5.659004
{txt}{space 17}/cut2 {c |}{col 24}{res}{space 2} 3.547975{col 36}{space 2} 1.227027{col 64}{space 4} 1.143046{col 77}{space 3} 5.952904
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M12o: ologit success3 i.showofforce##nonpersonalist_a_tss i.mobilization##nonpersonalist_a_tss i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-202.93491}  
Iteration 1:{space 3}log pseudolikelihood = {res: -162.2496}  
Iteration 2:{space 3}log pseudolikelihood = {res:-161.80801}  
Iteration 3:{space 3}log pseudolikelihood = {res:-161.80689}  
Iteration 4:{space 3}log pseudolikelihood = {res:-161.80689}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}     59.67
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-161.80689{txt}{col 49}Pseudo R2{col 67}= {res}    0.2027

{txt}{ralign 88:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              success3{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.showofforce {c |}{col 24}{res}{space 2} 2.108231{col 36}{space 2}  1.26215{col 47}{space 1}    1.67{col 56}{space 3}0.095{col 64}{space 4} -.365538{col 77}{space 3}    4.582
{txt}1.nonpersonalist_a_tss {c |}{col 24}{res}{space 2} 1.507331{col 36}{space 2} 1.131049{col 47}{space 1}    1.33{col 56}{space 3}0.183{col 64}{space 4}-.7094843{col 77}{space 3} 3.724146
{txt}{space 22} {c |}
{space 11}showofforce#{c |}
{space 2}nonpersonalist_a_tss {c |}
{space 18}1 1  {c |}{col 24}{res}{space 2}-1.733602{col 36}{space 2} 1.439068{col 47}{space 1}   -1.20{col 56}{space 3}0.228{col 64}{space 4}-4.554123{col 77}{space 3}  1.08692
{txt}{space 22} {c |}
{space 8}1.mobilization {c |}{col 24}{res}{space 2} 2.959222{col 36}{space 2} 1.020867{col 47}{space 1}    2.90{col 56}{space 3}0.004{col 64}{space 4} .9583595{col 77}{space 3} 4.960085
{txt}{space 22} {c |}
{space 10}mobilization#{c |}
{space 2}nonpersonalist_a_tss {c |}
{space 18}1 1  {c |}{col 24}{res}{space 2}-.7268774{col 36}{space 2} 1.125356{col 47}{space 1}   -0.65{col 56}{space 3}0.518{col 64}{space 4}-2.932536{col 77}{space 3} 1.478781
{txt}{space 22} {c |}
{space 7}1.democpolity_b {c |}{col 24}{res}{space 2}  1.45697{col 36}{space 2}  .439243{col 47}{space 1}    3.32{col 56}{space 3}0.001{col 64}{space 4} .5960691{col 77}{space 3}  2.31787
{txt}{space 11}theta2_mean {c |}{col 24}{res}{space 2}-.1665979{col 36}{space 2} .2398826{col 47}{space 1}   -0.69{col 56}{space 3}0.487{col 64}{space 4}-.6367591{col 77}{space 3} .3035634
{txt}{space 9}capshare_a_ks {c |}{col 24}{res}{space 2}-.5602381{col 36}{space 2} .6805577{col 47}{space 1}   -0.82{col 56}{space 3}0.410{col 64}{space 4}-1.894107{col 77}{space 3} .7736305
{txt}{space 11}1.territory {c |}{col 24}{res}{space 2}-.3091245{col 36}{space 2}  .397494{col 47}{space 1}   -0.78{col 56}{space 3}0.437{col 64}{space 4}-1.088198{col 77}{space 3} .4699495
{txt}{space 9}1.reparations {c |}{col 24}{res}{space 2}-.2522936{col 36}{space 2} .4410788{col 47}{space 1}   -0.57{col 56}{space 3}0.567{col 64}{space 4}-1.116792{col 77}{space 3}  .612205
{txt}{space 10}1.leadership {c |}{col 24}{res}{space 2} 2.799458{col 36}{space 2} .8433148{col 47}{space 1}    3.32{col 56}{space 3}0.001{col 64}{space 4} 1.146591{col 77}{space 3} 4.452324
{txt}{space 14}1.policy {c |}{col 24}{res}{space 2} .1805202{col 36}{space 2} .3538494{col 47}{space 1}    0.51{col 56}{space 3}0.610{col 64}{space 4}-.5130119{col 77}{space 3} .8740522
{txt}{space 11}1.contig_ks {c |}{col 24}{res}{space 2} .1867268{col 36}{space 2} .3596397{col 47}{space 1}    0.52{col 56}{space 3}0.604{col 64}{space 4} -.518154{col 77}{space 3} .8916076
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}/cut1 {c |}{col 24}{res}{space 2} 3.440264{col 36}{space 2} 1.226775{col 64}{space 4} 1.035828{col 77}{space 3} 5.844699
{txt}{space 17}/cut2 {c |}{col 24}{res}{space 2} 3.725656{col 36}{space 2} 1.236064{col 64}{space 4} 1.303016{col 77}{space 3} 6.148296
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. esttab M7o M8o M9o M10o M11o M12o, se(3) pr2 b(3) star(+ 0.10 * 0.05 ** 0.01 *** 0.001)
{res}
{txt}{hline 108}
{txt}                      (1)             (2)             (3)             (4)             (5)             (6)   
{txt}                 success3        success3        success3        success3        success3        success3   
{txt}{hline 108}
{res}success3                                                                                                    {txt}
{txt}0.military~l{res}        0.000                           0.000                           0.000                   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}1.military~l{res}        1.838***                        2.126**                         2.874**                 {txt}
            {res} {ralign 12:{txt:(}0.519{txt:)}}                    {ralign 12:{txt:(}0.692{txt:)}}                    {ralign 12:{txt:(}1.011{txt:)}}                   {txt}

{txt}0.democpol~a{res}        0.000           0.000           0.000           0.000                                   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}                                   {txt}

{txt}1.democpol~a{res}       -1.112          -1.095          -0.095          -0.109                                   {txt}
            {res} {ralign 12:{txt:(}0.838{txt:)}}    {ralign 12:{txt:(}0.835{txt:)}}    {ralign 12:{txt:(}0.506{txt:)}}    {ralign 12:{txt:(}0.527{txt:)}}                                   {txt}

{txt}0.military~a{res}        0.000                                                                                   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}                                                                                   {txt}

{txt}0.military~a{res}        0.000                                                                                   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}                                                                                   {txt}

{txt}1.military~a{res}        0.000                                                                                   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}                                                                                   {txt}

{txt}1.military~a{res}        0.990                                                                                   {txt}
            {res} {ralign 12:{txt:(}0.876{txt:)}}                                                                                   {txt}

{txt}0.democpol~b{res}        0.000           0.000           0.000           0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.democpol~b{res}        1.324**         1.391**         1.047*          1.192*          1.357**         1.457***{txt}
            {res} {ralign 12:{txt:(}0.463{txt:)}}    {ralign 12:{txt:(}0.478{txt:)}}    {ralign 12:{txt:(}0.453{txt:)}}    {ralign 12:{txt:(}0.473{txt:)}}    {ralign 12:{txt:(}0.432{txt:)}}    {ralign 12:{txt:(}0.439{txt:)}}   {txt}

{txt}theta2_mean {res}       -0.401+         -0.464+         -0.428+         -0.495+         -0.118          -0.167   {txt}
            {res} {ralign 12:{txt:(}0.240{txt:)}}    {ralign 12:{txt:(}0.252{txt:)}}    {ralign 12:{txt:(}0.241{txt:)}}    {ralign 12:{txt:(}0.255{txt:)}}    {ralign 12:{txt:(}0.230{txt:)}}    {ralign 12:{txt:(}0.240{txt:)}}   {txt}

{txt}capshare_a~s{res}       -0.808          -0.766          -0.849          -0.703          -0.616          -0.560   {txt}
            {res} {ralign 12:{txt:(}0.646{txt:)}}    {ralign 12:{txt:(}0.671{txt:)}}    {ralign 12:{txt:(}0.605{txt:)}}    {ralign 12:{txt:(}0.632{txt:)}}    {ralign 12:{txt:(}0.657{txt:)}}    {ralign 12:{txt:(}0.681{txt:)}}   {txt}

{txt}0.territory {res}        0.000           0.000           0.000           0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.territory {res}       -0.562          -0.534          -0.605+         -0.572          -0.367          -0.309   {txt}
            {res} {ralign 12:{txt:(}0.356{txt:)}}    {ralign 12:{txt:(}0.377{txt:)}}    {ralign 12:{txt:(}0.362{txt:)}}    {ralign 12:{txt:(}0.389{txt:)}}    {ralign 12:{txt:(}0.376{txt:)}}    {ralign 12:{txt:(}0.397{txt:)}}   {txt}

{txt}0.reparati~s{res}        0.000           0.000           0.000           0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.reparati~s{res}       -0.057          -0.154          -0.175          -0.253          -0.156          -0.252   {txt}
            {res} {ralign 12:{txt:(}0.440{txt:)}}    {ralign 12:{txt:(}0.439{txt:)}}    {ralign 12:{txt:(}0.410{txt:)}}    {ralign 12:{txt:(}0.413{txt:)}}    {ralign 12:{txt:(}0.431{txt:)}}    {ralign 12:{txt:(}0.441{txt:)}}   {txt}

{txt}0.leadership{res}        0.000           0.000           0.000           0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.leadership{res}        2.342***        2.418***        2.311***        2.419***        2.736***        2.799***{txt}
            {res} {ralign 12:{txt:(}0.597{txt:)}}    {ralign 12:{txt:(}0.626{txt:)}}    {ralign 12:{txt:(}0.639{txt:)}}    {ralign 12:{txt:(}0.690{txt:)}}    {ralign 12:{txt:(}0.791{txt:)}}    {ralign 12:{txt:(}0.843{txt:)}}   {txt}

{txt}0.policy    {res}        0.000           0.000           0.000           0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.policy    {res}       -0.074          -0.021          -0.018           0.008           0.111           0.181   {txt}
            {res} {ralign 12:{txt:(}0.339{txt:)}}    {ralign 12:{txt:(}0.337{txt:)}}    {ralign 12:{txt:(}0.327{txt:)}}    {ralign 12:{txt:(}0.328{txt:)}}    {ralign 12:{txt:(}0.348{txt:)}}    {ralign 12:{txt:(}0.354{txt:)}}   {txt}

{txt}0.contig_ks {res}        0.000           0.000           0.000           0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.contig_ks {res}       -0.001           0.020          -0.002           0.051           0.157           0.187   {txt}
            {res} {ralign 12:{txt:(}0.378{txt:)}}    {ralign 12:{txt:(}0.387{txt:)}}    {ralign 12:{txt:(}0.374{txt:)}}    {ralign 12:{txt:(}0.390{txt:)}}    {ralign 12:{txt:(}0.345{txt:)}}    {ralign 12:{txt:(}0.360{txt:)}}   {txt}

{txt}0.showoffo~e{res}                        0.000                           0.000                           0.000   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.showoffo~e{res}                        0.349                           1.333                           2.108+  {txt}
            {res}                 {ralign 12:{txt:(}0.774{txt:)}}                    {ralign 12:{txt:(}0.866{txt:)}}                    {ralign 12:{txt:(}1.262{txt:)}}   {txt}

{txt}0.showoffo~a{res}                        0.000                                                                   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                                                                   {txt}

{txt}0.showoffo~a{res}                        0.000                                                                   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                                                                   {txt}

{txt}1.showoffo~a{res}                        0.000                                                                   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                                                                   {txt}

{txt}1.showoffo~a{res}                        1.003                                                                   {txt}
            {res}                 {ralign 12:{txt:(}1.302{txt:)}}                                                                   {txt}

{txt}0.mobiliza~n{res}                        0.000                           0.000                           0.000   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.mobiliza~n{res}                        1.983***                        2.293**                         2.959** {txt}
            {res}                 {ralign 12:{txt:(}0.522{txt:)}}                    {ralign 12:{txt:(}0.711{txt:)}}                    {ralign 12:{txt:(}1.021{txt:)}}   {txt}

{txt}0.mobiliza~a{res}                        0.000                                                                   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                                                                   {txt}

{txt}0.mobiliza~a{res}                        0.000                                                                   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                                                                   {txt}

{txt}1.mobiliza~a{res}                        0.000                                                                   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                                                                   {txt}

{txt}1.mobiliza~a{res}                        0.957                                                                   {txt}
            {res}                 {ralign 12:{txt:(}0.877{txt:)}}                                                                   {txt}

{txt}0.democadv  {res}                                        0.000           0.000                                   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}                                   {txt}

{txt}1.democadv  {res}                                       -0.450          -0.366                                   {txt}
            {res}                                 {ralign 12:{txt:(}0.871{txt:)}}    {ralign 12:{txt:(}0.896{txt:)}}                                   {txt}

{txt}0.military~v{res}                                        0.000                                                   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}                                                   {txt}

{txt}0.military~v{res}                                        0.000                                                   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}                                                   {txt}

{txt}1.military~v{res}                                        0.000                                                   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}                                                   {txt}

{txt}1.military~v{res}                                        0.065                                                   {txt}
            {res}                                 {ralign 12:{txt:(}0.871{txt:)}}                                                   {txt}

{txt}0.showoffo~v{res}                                                        0.000                                   {txt}
            {res}                                                 {ralign 12:{txt:(}.{txt:)}}                                   {txt}

{txt}0.showoffo~v{res}                                                        0.000                                   {txt}
            {res}                                                 {ralign 12:{txt:(}.{txt:)}}                                   {txt}

{txt}1.showoffo~v{res}                                                        0.000                                   {txt}
            {res}                                                 {ralign 12:{txt:(}.{txt:)}}                                   {txt}

{txt}1.showoffo~v{res}                                                       -1.781                                   {txt}
            {res}                                                 {ralign 12:{txt:(}1.149{txt:)}}                                   {txt}

{txt}0.mobiliza~v{res}                                                        0.000                                   {txt}
            {res}                                                 {ralign 12:{txt:(}.{txt:)}}                                   {txt}

{txt}0.mobiliza~v{res}                                                        0.000                                   {txt}
            {res}                                                 {ralign 12:{txt:(}.{txt:)}}                                   {txt}

{txt}1.mobiliza~v{res}                                                        0.000                                   {txt}
            {res}                                                 {ralign 12:{txt:(}.{txt:)}}                                   {txt}

{txt}1.mobiliza~v{res}                                                        0.073                                   {txt}
            {res}                                                 {ralign 12:{txt:(}0.888{txt:)}}                                   {txt}

{txt}0.nonperso~s{res}                                                                        0.000           0.000   {txt}
            {res}                                                                 {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.nonperso~s{res}                                                                        1.478           1.507   {txt}
            {res}                                                                 {ralign 12:{txt:(}1.117{txt:)}}    {ralign 12:{txt:(}1.131{txt:)}}   {txt}

{txt}0.military~t{res}                                                                        0.000                   {txt}
            {res}                                                                 {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}0.military~t{res}                                                                        0.000                   {txt}
            {res}                                                                 {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}1.military~t{res}                                                                        0.000                   {txt}
            {res}                                                                 {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}1.military~t{res}                                                                       -0.795                   {txt}
            {res}                                                                 {ralign 12:{txt:(}1.116{txt:)}}                   {txt}

{txt}0.showoffo~t{res}                                                                                        0.000   {txt}
            {res}                                                                                 {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}0.showoffo~t{res}                                                                                        0.000   {txt}
            {res}                                                                                 {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.showoffo~t{res}                                                                                        0.000   {txt}
            {res}                                                                                 {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.showoffo~t{res}                                                                                       -1.734   {txt}
            {res}                                                                                 {ralign 12:{txt:(}1.439{txt:)}}   {txt}

{txt}0.mobiliza~_{res}                                                                                        0.000   {txt}
            {res}                                                                                 {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}0.mobiliza~_{res}                                                                                        0.000   {txt}
            {res}                                                                                 {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.mobiliza~_{res}                                                                                        0.000   {txt}
            {res}                                                                                 {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.mobiliza~_{res}                                                                                       -0.727   {txt}
            {res}                                                                                 {ralign 12:{txt:(}1.125{txt:)}}   {txt}
{hline 108}
{res}/                                                                                                           {txt}
{txt}cut1        {res}        1.134           1.237           1.109           1.382           3.270**         3.440** {txt}
            {res} {ralign 12:{txt:(}0.845{txt:)}}    {ralign 12:{txt:(}0.850{txt:)}}    {ralign 12:{txt:(}0.965{txt:)}}    {ralign 12:{txt:(}0.994{txt:)}}    {ralign 12:{txt:(}1.219{txt:)}}    {ralign 12:{txt:(}1.227{txt:)}}   {txt}

{txt}cut2        {res}        1.410+          1.519+          1.385           1.666+          3.548**         3.726** {txt}
            {res} {ralign 12:{txt:(}0.844{txt:)}}    {ralign 12:{txt:(}0.849{txt:)}}    {ralign 12:{txt:(}0.970{txt:)}}    {ralign 12:{txt:(}1.000{txt:)}}    {ralign 12:{txt:(}1.227{txt:)}}    {ralign 12:{txt:(}1.236{txt:)}}   {txt}
{txt}{hline 108}
{txt}N           {res}          242             242             242             242             242             242   {txt}
{txt}pseudo R-sq {res}        0.182           0.196           0.182           0.199           0.187           0.203   {txt}
{txt}{hline 108}
{txt}Standard errors in parentheses
{txt}+ p<0.10, * p<0.05, ** p<0.01, *** p<0.001

{com}. 
. * Estimate marginal effects
. est restore M7
{txt}(results {stata estimates replay M7:M7} are active now)

{com}. eststo marginsM7: margins, dydx(democpolity_a) at(territory = 1 reparations = 0 leadership = 0 policy = 0 contig_ks = 1 democpolity_b = 1 military_signal = 1) atmeans post
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.democpolity_a}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:military_signal}{space 1}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~a}{space 4}{txt:=} {space 3}.6363636 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~a}{space 4}{txt:=} {space 3}.3636364 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:democpolity_b}{space 3}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:theta2_mean}{space 5}{txt:=} {space 3}.2616775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:capshare_a~s}{space 4}{txt:=} {space 3}.6740789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:territory}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:reparations}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leadership}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:policy}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:contig_ks}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29} Delta-method
{col 17}{c |}      dy/dx{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.democpolity_a {c |}{col 17}{res}{space 2}-.0079124{col 29}{space 2} .0995492{col 40}{space 1}   -0.08{col 49}{space 3}0.937{col 57}{space 4}-.2030252{col 70}{space 3} .1872003
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 81}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. est restore M9
{txt}(results {stata estimates replay M9:M9} are active now)

{com}. eststo marginsM9: margins, dydx(democadv) at(territory = 1 reparations = 0 leadership = 0 policy = 0 contig_ks = 1 democpolity_b = 1 military_signal = 1) atmeans post
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.democadv}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:military_signal}{space 1}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democadv}{space 6}{txt:=} {space 3}.4256198 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democadv}{space 6}{txt:=} {space 3}.5743802 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~a}{space 4}{txt:=} {space 3}.6363636 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~a}{space 4}{txt:=} {space 3}.3636364 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:democpolity_b}{space 3}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:theta2_mean}{space 5}{txt:=} {space 3}.2616775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:capshare_a~s}{space 4}{txt:=} {space 3}.6740789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:territory}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:reparations}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leadership}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:policy}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:contig_ks}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.democadv {c |}{col 14}{res}{space 2} -.067793{col 26}{space 2} .1154062{col 37}{space 1}   -0.59{col 46}{space 3}0.557{col 54}{space 4} -.293985{col 67}{space 3}  .158399
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. est restore M11
{txt}(results {stata estimates replay M11:M11} are active now)

{com}. eststo marginsM11: margins, dydx(nonpersonalist_a_tss) at(territory = 1 reparations = 0 leadership = 0 policy = 0 contig_ks = 1 democpolity_b = 1 military_signal = 1) atmeans post
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.nonpersonalist_a_tss}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:military_signal}{space 1}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.nonperso~s}{space 4}{txt:=} {space 4}.231405 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.nonperso~s}{space 4}{txt:=} {space 4}.768595 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:democpolity_b}{space 3}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:theta2_mean}{space 5}{txt:=} {space 3}.2616775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:capshare_a~s}{space 4}{txt:=} {space 3}.6740789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:territory}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:reparations}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leadership}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:policy}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:contig_ks}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36} Delta-method
{col 24}{c |}      dy/dx{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.nonpersonalist_a_tss {c |}{col 24}{res}{space 2}    .1609{col 36}{space 2}  .111531{col 47}{space 1}    1.44{col 56}{space 3}0.149{col 64}{space 4}-.0576967{col 77}{space 3} .3794967
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 88}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. 
. 
. est restore M7o
{txt}(results {stata estimates replay M7o:M7o} are active now)

{com}. eststo marginsM7o: margins, predict(outcome(2)) dydx(democpolity_a) at(territory = 1 reparations = 0 leadership = 0 policy = 0 contig_ks = 1 democpolity_b = 1 military_signal = 1) atmeans post
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success3==2), predict(outcome(2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.democpolity_a}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:military_signal}{space 1}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~a}{space 4}{txt:=} {space 3}.6363636 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~a}{space 4}{txt:=} {space 3}.3636364 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:democpolity_b}{space 3}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:theta2_mean}{space 5}{txt:=} {space 3}.2616775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:capshare_a~s}{space 4}{txt:=} {space 3}.6740789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:territory}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:reparations}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leadership}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:policy}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:contig_ks}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29} Delta-method
{col 17}{c |}      dy/dx{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.democpolity_a {c |}{col 17}{res}{space 2}-.0288227{col 29}{space 2} .1071522{col 40}{space 1}   -0.27{col 49}{space 3}0.788{col 57}{space 4} -.238837{col 70}{space 3} .1811917
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 81}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. est restore M9o
{txt}(results {stata estimates replay M9o:M9o} are active now)

{com}. eststo marginsM9o: margins, predict(outcome(2)) dydx(democadv) at(territory = 1 reparations = 0 leadership = 0 policy = 0 contig_ks = 1 democpolity_b = 1 military_signal = 1) atmeans post
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success3==2), predict(outcome(2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.democadv}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:military_signal}{space 1}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democadv}{space 6}{txt:=} {space 3}.4256198 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democadv}{space 6}{txt:=} {space 3}.5743802 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~a}{space 4}{txt:=} {space 3}.6363636 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~a}{space 4}{txt:=} {space 3}.3636364 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:democpolity_b}{space 3}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:theta2_mean}{space 5}{txt:=} {space 3}.2616775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:capshare_a~s}{space 4}{txt:=} {space 3}.6740789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:territory}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:reparations}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leadership}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:policy}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:contig_ks}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.democadv {c |}{col 14}{res}{space 2}-.0944148{col 26}{space 2} .1227525{col 37}{space 1}   -0.77{col 46}{space 3}0.442{col 54}{space 4}-.3350052{col 67}{space 3} .1461756
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. est restore M11o
{txt}(results {stata estimates replay M11o:M11o} are active now)

{com}. eststo marginsM11o: margins, predict(outcome(2)) dydx(nonpersonalist_a_tss) at(territory = 1 reparations = 0 leadership = 0 policy = 0 contig_ks = 1 democpolity_b = 1 military_signal = 1) atmeans post
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success3==2), predict(outcome(2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.nonpersonalist_a_tss}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:military_signal}{space 1}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.nonperso~s}{space 4}{txt:=} {space 4}.231405 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.nonperso~s}{space 4}{txt:=} {space 4}.768595 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:democpolity_b}{space 3}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:theta2_mean}{space 5}{txt:=} {space 3}.2616775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:capshare_a~s}{space 4}{txt:=} {space 3}.6740789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:territory}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:reparations}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leadership}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:policy}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:contig_ks}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36} Delta-method
{col 24}{c |}      dy/dx{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.nonpersonalist_a_tss {c |}{col 24}{res}{space 2} .1637184{col 36}{space 2} .1182763{col 47}{space 1}    1.38{col 56}{space 3}0.166{col 64}{space 4} -.068099{col 77}{space 3} .3955357
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 88}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. 
. 
. est restore M8
{txt}(results {stata estimates replay M8:M8} are active now)

{com}. eststo marginsM8a: margins, dydx(democpolity_a) at(territory = 1 reparations = 0 leadership = 0 policy = 0 contig_ks = 1 democpolity_b = 1 showofforce = 1 mobilization = 0) atmeans post
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.democpolity_a}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:showofforce}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~a}{space 4}{txt:=} {space 3}.6363636 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~a}{space 4}{txt:=} {space 3}.3636364 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mobilization}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:democpolity_b}{space 3}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:theta2_mean}{space 5}{txt:=} {space 3}.2616775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:capshare_a~s}{space 4}{txt:=} {space 3}.6740789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:territory}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:reparations}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leadership}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:policy}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:contig_ks}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29} Delta-method
{col 17}{c |}      dy/dx{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.democpolity_a {c |}{col 17}{res}{space 2}-.0032488{col 29}{space 2} .2154049{col 40}{space 1}   -0.02{col 49}{space 3}0.988{col 57}{space 4}-.4254347{col 70}{space 3} .4189371
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 81}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. est restore M10
{txt}(results {stata estimates replay M10:M10} are active now)

{com}. eststo marginsM10a: margins, dydx(democadv) at(territory = 1 reparations = 0 leadership = 0 policy = 0 contig_ks = 1 democpolity_b = 1 showofforce = 1 mobilization = 0) atmeans post
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.democadv}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:showofforce}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democadv}{space 6}{txt:=} {space 3}.4256198 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democadv}{space 6}{txt:=} {space 3}.5743802 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mobilization}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~a}{space 4}{txt:=} {space 3}.6363636 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~a}{space 4}{txt:=} {space 3}.3636364 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:democpolity_b}{space 3}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:theta2_mean}{space 5}{txt:=} {space 3}.2616775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:capshare_a~s}{space 4}{txt:=} {space 3}.6740789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:territory}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:reparations}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leadership}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:policy}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:contig_ks}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.democadv {c |}{col 14}{res}{space 2}-.3754679{col 26}{space 2} .1774779{col 37}{space 1}   -2.12{col 46}{space 3}0.034{col 54}{space 4}-.7233181{col 67}{space 3}-.0276177
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. est restore M12
{txt}(results {stata estimates replay M12:M12} are active now)

{com}. eststo marginsM12a: margins, dydx(nonpersonalist_a_tss) at(territory = 1 reparations = 0 leadership = 0 policy = 0 contig_ks = 1 democpolity_b = 1 showofforce = 1 mobilization = 0) atmeans post
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.nonpersonalist_a_tss}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:showofforce}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.nonperso~s}{space 4}{txt:=} {space 4}.231405 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.nonperso~s}{space 4}{txt:=} {space 4}.768595 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mobilization}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:democpolity_b}{space 3}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:theta2_mean}{space 5}{txt:=} {space 3}.2616775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:capshare_a~s}{space 4}{txt:=} {space 3}.6740789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:territory}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:reparations}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leadership}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:policy}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:contig_ks}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36} Delta-method
{col 24}{c |}      dy/dx{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.nonpersonalist_a_tss {c |}{col 24}{res}{space 2}-.0476683{col 36}{space 2} .2373631{col 47}{space 1}   -0.20{col 56}{space 3}0.841{col 64}{space 4}-.5128914{col 77}{space 3} .4175548
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 88}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. 
. est restore M8o
{txt}(results {stata estimates replay M8o:M8o} are active now)

{com}. eststo marginsM8ao: margins, predict(outcome(2)) dydx(democpolity_a) at(territory = 1 reparations = 0 leadership = 0 policy = 0 contig_ks = 1 democpolity_b = 1 showofforce = 1 mobilization = 0) atmeans post
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success3==2), predict(outcome(2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.democpolity_a}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:showofforce}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~a}{space 4}{txt:=} {space 3}.6363636 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~a}{space 4}{txt:=} {space 3}.3636364 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mobilization}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:democpolity_b}{space 3}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:theta2_mean}{space 5}{txt:=} {space 3}.2616775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:capshare_a~s}{space 4}{txt:=} {space 3}.6740789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:territory}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:reparations}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leadership}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:policy}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:contig_ks}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29} Delta-method
{col 17}{c |}      dy/dx{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.democpolity_a {c |}{col 17}{res}{space 2}-.0181299{col 29}{space 2} .2082439{col 40}{space 1}   -0.09{col 49}{space 3}0.931{col 57}{space 4}-.4262805{col 70}{space 3} .3900207
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 81}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. est restore M10o
{txt}(results {stata estimates replay M10o:M10o} are active now)

{com}. eststo marginsM10ao: margins, predict(outcome(2)) dydx(democadv) at(territory = 1 reparations = 0 leadership = 0 policy = 0 contig_ks = 1 democpolity_b = 1 showofforce = 1 mobilization = 0) atmeans post
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success3==2), predict(outcome(2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.democadv}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:showofforce}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democadv}{space 6}{txt:=} {space 3}.4256198 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democadv}{space 6}{txt:=} {space 3}.5743802 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mobilization}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~a}{space 4}{txt:=} {space 3}.6363636 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~a}{space 4}{txt:=} {space 3}.3636364 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:democpolity_b}{space 3}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:theta2_mean}{space 5}{txt:=} {space 3}.2616775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:capshare_a~s}{space 4}{txt:=} {space 3}.6740789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:territory}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:reparations}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leadership}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:policy}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:contig_ks}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.democadv {c |}{col 14}{res}{space 2}-.3452231{col 26}{space 2} .1782135{col 37}{space 1}   -1.94{col 46}{space 3}0.053{col 54}{space 4}-.6945151{col 67}{space 3} .0040689
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. est restore M12o
{txt}(results {stata estimates replay M12o:M12o} are active now)

{com}. eststo marginsM12ao: margins, predict(outcome(2)) dydx(nonpersonalist_a_tss) at(territory = 1 reparations = 0 leadership = 0 policy = 0 contig_ks = 1 democpolity_b = 1 showofforce = 1 mobilization = 0) atmeans post
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success3==2), predict(outcome(2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.nonpersonalist_a_tss}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:showofforce}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.nonperso~s}{space 4}{txt:=} {space 4}.231405 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.nonperso~s}{space 4}{txt:=} {space 4}.768595 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mobilization}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:democpolity_b}{space 3}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:theta2_mean}{space 5}{txt:=} {space 3}.2616775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:capshare_a~s}{space 4}{txt:=} {space 3}.6740789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:territory}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:reparations}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leadership}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:policy}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:contig_ks}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36} Delta-method
{col 24}{c |}      dy/dx{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.nonpersonalist_a_tss {c |}{col 24}{res}{space 2}-.0480545{col 36}{space 2} .2316759{col 47}{space 1}   -0.21{col 56}{space 3}0.836{col 64}{space 4}-.5021308{col 77}{space 3} .4060219
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 88}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. 
. 
. est restore M8
{txt}(results {stata estimates replay M8:M8} are active now)

{com}. eststo marginsM8b: margins, dydx(democpolity_a) at(territory = 1 reparations = 0 leadership = 0 policy = 0 contig_ks = 1 democpolity_b = 1 showofforce = 0 mobilization = 1) atmeans post
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.democpolity_a}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:showofforce}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~a}{space 4}{txt:=} {space 3}.6363636 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~a}{space 4}{txt:=} {space 3}.3636364 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mobilization}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:democpolity_b}{space 3}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:theta2_mean}{space 5}{txt:=} {space 3}.2616775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:capshare_a~s}{space 4}{txt:=} {space 3}.6740789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:territory}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:reparations}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leadership}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:policy}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:contig_ks}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29} Delta-method
{col 17}{c |}      dy/dx{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.democpolity_a {c |}{col 17}{res}{space 2}-.0091136{col 29}{space 2} .1010222{col 40}{space 1}   -0.09{col 49}{space 3}0.928{col 57}{space 4}-.2071135{col 70}{space 3} .1888863
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 81}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. est restore M10
{txt}(results {stata estimates replay M10:M10} are active now)

{com}. eststo marginsM10b: margins, dydx(democadv) at(territory = 1 reparations = 0 leadership = 0 policy = 0 contig_ks = 1 democpolity_b = 1 showofforce = 0 mobilization = 1) atmeans post
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.democadv}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:showofforce}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democadv}{space 6}{txt:=} {space 3}.4256198 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democadv}{space 6}{txt:=} {space 3}.5743802 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mobilization}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~a}{space 4}{txt:=} {space 3}.6363636 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~a}{space 4}{txt:=} {space 3}.3636364 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:democpolity_b}{space 3}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:theta2_mean}{space 5}{txt:=} {space 3}.2616775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:capshare_a~s}{space 4}{txt:=} {space 3}.6740789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:territory}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:reparations}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leadership}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:policy}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:contig_ks}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.democadv {c |}{col 14}{res}{space 2}-.0386894{col 26}{space 2}  .118332{col 37}{space 1}   -0.33{col 46}{space 3}0.744{col 54}{space 4}-.2706159{col 67}{space 3}  .193237
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. est restore M12
{txt}(results {stata estimates replay M12:M12} are active now)

{com}. eststo marginsM12b: margins, dydx(nonpersonalist_a_tss) at(territory = 1 reparations = 0 leadership = 0 policy = 0 contig_ks = 1 democpolity_b = 1 showofforce = 0 mobilization = 1) atmeans post
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.nonpersonalist_a_tss}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:showofforce}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.nonperso~s}{space 4}{txt:=} {space 4}.231405 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.nonperso~s}{space 4}{txt:=} {space 4}.768595 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mobilization}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:democpolity_b}{space 3}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:theta2_mean}{space 5}{txt:=} {space 3}.2616775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:capshare_a~s}{space 4}{txt:=} {space 3}.6740789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:territory}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:reparations}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leadership}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:policy}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:contig_ks}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36} Delta-method
{col 24}{c |}      dy/dx{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.nonpersonalist_a_tss {c |}{col 24}{res}{space 2} .1752136{col 36}{space 2} .1134519{col 47}{space 1}    1.54{col 56}{space 3}0.122{col 64}{space 4}-.0471481{col 77}{space 3} .3975753
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 88}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. 
. 
. est restore M8o
{txt}(results {stata estimates replay M8o:M8o} are active now)

{com}. eststo marginsM8bo: margins, predict(outcome(2)) dydx(democpolity_a) at(territory = 1 reparations = 0 leadership = 0 policy = 0 contig_ks = 1 democpolity_b = 1 showofforce = 0 mobilization = 1) atmeans post
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success3==2), predict(outcome(2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.democpolity_a}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:showofforce}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~a}{space 4}{txt:=} {space 3}.6363636 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~a}{space 4}{txt:=} {space 3}.3636364 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mobilization}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:democpolity_b}{space 3}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:theta2_mean}{space 5}{txt:=} {space 3}.2616775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:capshare_a~s}{space 4}{txt:=} {space 3}.6740789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:territory}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:reparations}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leadership}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:policy}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:contig_ks}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29} Delta-method
{col 17}{c |}      dy/dx{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.democpolity_a {c |}{col 17}{res}{space 2}-.0310857{col 29}{space 2} .1102497{col 40}{space 1}   -0.28{col 49}{space 3}0.778{col 57}{space 4}-.2471712{col 70}{space 3} .1849998
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 81}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. est restore M10o
{txt}(results {stata estimates replay M10o:M10o} are active now)

{com}. eststo marginsM10bo: margins, predict(outcome(2)) dydx(democadv) at(territory = 1 reparations = 0 leadership = 0 policy = 0 contig_ks = 1 democpolity_b = 1 showofforce = 0 mobilization = 1) atmeans post
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success3==2), predict(outcome(2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.democadv}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:showofforce}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democadv}{space 6}{txt:=} {space 3}.4256198 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democadv}{space 6}{txt:=} {space 3}.5743802 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mobilization}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.democpol~a}{space 4}{txt:=} {space 3}.6363636 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.democpol~a}{space 4}{txt:=} {space 3}.3636364 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:democpolity_b}{space 3}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:theta2_mean}{space 5}{txt:=} {space 3}.2616775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:capshare_a~s}{space 4}{txt:=} {space 3}.6740789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:territory}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:reparations}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leadership}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:policy}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:contig_ks}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.democadv {c |}{col 14}{res}{space 2}-.0684989{col 26}{space 2} .1296238{col 37}{space 1}   -0.53{col 46}{space 3}0.597{col 54}{space 4}-.3225569{col 67}{space 3}  .185559
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. est restore M12o
{txt}(results {stata estimates replay M12o:M12o} are active now)

{com}. eststo marginsM12bo: margins, predict(outcome(2)) dydx(nonpersonalist_a_tss) at(territory = 1 reparations = 0 leadership = 0 policy = 0 contig_ks = 1 democpolity_b = 1 showofforce = 0 mobilization = 1) atmeans post
{res}
{txt}Conditional marginal effects{col 49}Number of obs{col 67}= {res}       242
{txt}{col 1}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(success3==2), predict(outcome(2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.nonpersonalist_a_tss}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:at}:{space 1}{res:{txt:showofforce}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:0.nonperso~s}{space 4}{txt:=} {space 4}.231405 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:1.nonperso~s}{space 4}{txt:=} {space 4}.768595 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mobilization}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:democpolity_b}{space 3}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:theta2_mean}{space 5}{txt:=} {space 3}.2616775 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:capshare_a~s}{space 4}{txt:=} {space 3}.6740789 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:territory}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:reparations}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leadership}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:policy}{space 10}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:contig_ks}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36} Delta-method
{col 24}{c |}      dy/dx{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.nonpersonalist_a_tss {c |}{col 24}{res}{space 2} .1798791{col 36}{space 2} .1214685{col 47}{space 1}    1.48{col 56}{space 3}0.139{col 64}{space 4}-.0581948{col 77}{space 3} .4179529
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 88}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. 
. * Create figure
. set scheme s1mono
{txt}
{com}. coefplot (marginsM7 \ marginsM9 \ marginsM11, label(Binary) offset(.1) mcolor(black) ciopts(color(black) recast(rcap) msize(small))) (marginsM7o \ marginsM9o \ marginsM11o,label(Ordered) offset(-.1) mcolor(gs10) ciopts(color(gs10) recast(rcap) msize(small))), bylabel(Military Signals) || (marginsM8a \ marginsM10a \ marginsM12a, offset(.1) mcolor(blue) ciopts(color(blue) recast(rcap) msize(small))) (marginsM8ao \ marginsM10ao \ marginsM12ao, offset(-.1) mcolor(gs10) ciopts(color(gs10) recast(rcap) msize(small))), bylabel(Shows of Force) || (marginsM8b \ marginsM10b \ marginsM12b, offset(.1) mcolor(black) ciopts(color(black) recast(rcap) msize(small))) (marginsM8bo \ marginsM10bo \ marginsM12bo, offset(-.1) mcolor(gs10) ciopts(color(gs10) recast(rcap) msize(small))), bylabel(Mobilizations) ||, legend(off) xlabels(-1 -.5 "-0.5" 0 .5 "0.5" 1) ytitle("") title("") xtitle("Marginal Effect of Regime Type") horiz xline(0) coeflabel(1.democpolity_a = "Democracy" 1.democadv = "Democratic Advantage" 1.nonpersonalist_a_tss = "Non-Personalist") grid(none) byopts(xrescale row(1) legend(off)) aspectratio(1) msize(vsmall) msymbol(circle) 
{res}{txt}
{com}. *graph export "Marginal Effect of Regime Type - All Models.eps", replace
. 
. 
. 
. **** Appendix B: Robustness checks ********** 
. 
. * Table SI-1
. eststo M1o: ologit success3 i.military_signal, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-202.93491}  
Iteration 1:{space 3}log pseudolikelihood = {res:-188.92372}  
Iteration 2:{space 3}log pseudolikelihood = {res:-188.73316}  
Iteration 3:{space 3}log pseudolikelihood = {res:-188.73278}  
Iteration 4:{space 3}log pseudolikelihood = {res:-188.73278}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}1{txt}){col 67}= {res}     24.98
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-188.73278{txt}{col 49}Pseudo R2{col 67}= {res}    0.0700

{txt}{ralign 83:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}         success3{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.military_signal {c |}{col 19}{res}{space 2} 1.825625{col 31}{space 2} .3653073{col 42}{space 1}    5.00{col 51}{space 3}0.000{col 59}{space 4} 1.109636{col 72}{space 3} 2.541614
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}/cut1 {c |}{col 19}{res}{space 2} 1.722647{col 31}{space 2} .3463397{col 59}{space 4} 1.043833{col 72}{space 3}  2.40146
{txt}{space 12}/cut2 {c |}{col 19}{res}{space 2}  1.95058{col 31}{space 2} .3492847{col 59}{space 4} 1.265995{col 72}{space 3} 2.635166
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M2o: ologit success3 i.showofforce i.mobilization, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-202.93491}  
Iteration 1:{space 3}log pseudolikelihood = {res:-186.94818}  
Iteration 2:{space 3}log pseudolikelihood = {res:-186.72648}  
Iteration 3:{space 3}log pseudolikelihood = {res: -186.7261}  
Iteration 4:{space 3}log pseudolikelihood = {res: -186.7261}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}2{txt}){col 67}= {res}     26.55
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -186.7261{txt}{col 49}Pseudo R2{col 67}= {res}    0.0799

{txt}{ralign 80:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}      success3{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}1.showofforce {c |}{col 16}{res}{space 2}  .769901{col 28}{space 2} .6593489{col 39}{space 1}    1.17{col 48}{space 3}0.243{col 56}{space 4}-.5223991{col 69}{space 3} 2.062201
{txt}1.mobilization {c |}{col 16}{res}{space 2} 1.909695{col 28}{space 2}  .373355{col 39}{space 1}    5.11{col 48}{space 3}0.000{col 56}{space 4} 1.177933{col 69}{space 3} 2.641458
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/cut1 {c |}{col 16}{res}{space 2} 1.722133{col 28}{space 2} .3464603{col 56}{space 4} 1.043084{col 69}{space 3} 2.401183
{txt}{space 9}/cut2 {c |}{col 16}{res}{space 2} 1.954085{col 28}{space 2} .3498222{col 56}{space 4} 1.268446{col 69}{space 3} 2.639724
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M3o: ologit success3 i.military_signal i.military_signal i.democpolity_a i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-202.93491}  
Iteration 1:{space 3}log pseudolikelihood = {res:-167.02944}  
Iteration 2:{space 3}log pseudolikelihood = {res:-166.55493}  
Iteration 3:{space 3}log pseudolikelihood = {res:-166.55358}  
Iteration 4:{space 3}log pseudolikelihood = {res:-166.55358}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}     50.06
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-166.55358{txt}{col 49}Pseudo R2{col 67}= {res}    0.1793

{txt}{ralign 83:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}         success3{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.military_signal {c |}{col 19}{res}{space 2} 2.197331{col 31}{space 2} .4561233{col 42}{space 1}    4.82{col 51}{space 3}0.000{col 59}{space 4} 1.303346{col 72}{space 3} 3.091317
{txt}{space 2}1.democpolity_a {c |}{col 19}{res}{space 2}-.2876149{col 31}{space 2} .4180498{col 42}{space 1}   -0.69{col 51}{space 3}0.491{col 59}{space 4}-1.106977{col 72}{space 3} .5317477
{txt}{space 2}1.democpolity_b {c |}{col 19}{res}{space 2} 1.242501{col 31}{space 2} .4291152{col 42}{space 1}    2.90{col 51}{space 3}0.004{col 59}{space 4} .4014508{col 72}{space 3} 2.083551
{txt}{space 6}theta2_mean {c |}{col 19}{res}{space 2}-.3969387{col 31}{space 2} .2388757{col 42}{space 1}   -1.66{col 51}{space 3}0.097{col 59}{space 4}-.8651264{col 72}{space 3}  .071249
{txt}{space 4}capshare_a_ks {c |}{col 19}{res}{space 2}-.7746012{col 31}{space 2} .6476318{col 42}{space 1}   -1.20{col 51}{space 3}0.232{col 59}{space 4}-2.043936{col 72}{space 3} .4947338
{txt}{space 6}1.territory {c |}{col 19}{res}{space 2}-.5312764{col 31}{space 2} .3437252{col 42}{space 1}   -1.55{col 51}{space 3}0.122{col 59}{space 4}-1.204965{col 72}{space 3} .1424126
{txt}{space 4}1.reparations {c |}{col 19}{res}{space 2}-.1919341{col 31}{space 2} .4181361{col 42}{space 1}   -0.46{col 51}{space 3}0.646{col 59}{space 4}-1.011466{col 72}{space 3} .6275976
{txt}{space 5}1.leadership {c |}{col 19}{res}{space 2} 2.426661{col 31}{space 2} .6275764{col 42}{space 1}    3.87{col 51}{space 3}0.000{col 59}{space 4} 1.196634{col 72}{space 3} 3.656688
{txt}{space 9}1.policy {c |}{col 19}{res}{space 2} .0001362{col 31}{space 2} .3267884{col 42}{space 1}    0.00{col 51}{space 3}1.000{col 59}{space 4}-.6403573{col 72}{space 3} .6406298
{txt}{space 6}1.contig_ks {c |}{col 19}{res}{space 2}-.0406817{col 31}{space 2} .3715023{col 42}{space 1}   -0.11{col 51}{space 3}0.913{col 59}{space 4}-.7688128{col 72}{space 3} .6874495
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}/cut1 {c |}{col 19}{res}{space 2} 1.465771{col 31}{space 2} .7747807{col 59}{space 4}-.0527716{col 72}{space 3} 2.984313
{txt}{space 12}/cut2 {c |}{col 19}{res}{space 2}  1.74065{col 31}{space 2}  .778215{col 59}{space 4} .2153764{col 72}{space 3} 3.265923
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M4o: ologit success3 i.showofforce i.mobilization i.democpolity_a i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-202.93491}  
Iteration 1:{space 3}log pseudolikelihood = {res:-164.11921}  
Iteration 2:{space 3}log pseudolikelihood = {res:-163.64703}  
Iteration 3:{space 3}log pseudolikelihood = {res:-163.64614}  
Iteration 4:{space 3}log pseudolikelihood = {res:-163.64614}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     53.86
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-163.64614{txt}{col 49}Pseudo R2{col 67}= {res}    0.1936

{txt}{ralign 81:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       success3{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.showofforce {c |}{col 17}{res}{space 2} .7175252{col 29}{space 2} .6098745{col 40}{space 1}    1.18{col 49}{space 3}0.239{col 57}{space 4}-.4778069{col 70}{space 3} 1.912857
{txt}{space 1}1.mobilization {c |}{col 17}{res}{space 2} 2.333428{col 29}{space 2} .4620571{col 40}{space 1}    5.05{col 49}{space 3}0.000{col 57}{space 4} 1.427812{col 70}{space 3} 3.239043
{txt}1.democpolity_a {c |}{col 17}{res}{space 2}-.2951618{col 29}{space 2}  .428675{col 40}{space 1}   -0.69{col 49}{space 3}0.491{col 57}{space 4}-1.135349{col 70}{space 3} .5450258
{txt}1.democpolity_b {c |}{col 17}{res}{space 2} 1.314655{col 29}{space 2} .4404805{col 40}{space 1}    2.98{col 49}{space 3}0.003{col 57}{space 4}  .451329{col 70}{space 3} 2.177981
{txt}{space 4}theta2_mean {c |}{col 17}{res}{space 2}-.4614504{col 29}{space 2} .2505512{col 40}{space 1}   -1.84{col 49}{space 3}0.066{col 57}{space 4}-.9525218{col 70}{space 3}  .029621
{txt}{space 2}capshare_a_ks {c |}{col 17}{res}{space 2}-.7331722{col 29}{space 2} .6754403{col 40}{space 1}   -1.09{col 49}{space 3}0.278{col 57}{space 4}-2.057011{col 70}{space 3} .5906663
{txt}{space 4}1.territory {c |}{col 17}{res}{space 2}-.5026991{col 29}{space 2} .3601517{col 40}{space 1}   -1.40{col 49}{space 3}0.163{col 57}{space 4}-1.208583{col 70}{space 3} .2031852
{txt}{space 2}1.reparations {c |}{col 17}{res}{space 2}-.2835053{col 29}{space 2} .4229335{col 40}{space 1}   -0.67{col 49}{space 3}0.503{col 57}{space 4} -1.11244{col 70}{space 3} .5454292
{txt}{space 3}1.leadership {c |}{col 17}{res}{space 2} 2.504108{col 29}{space 2} .6539686{col 40}{space 1}    3.83{col 49}{space 3}0.000{col 57}{space 4} 1.222353{col 70}{space 3} 3.785863
{txt}{space 7}1.policy {c |}{col 17}{res}{space 2} .0503431{col 29}{space 2} .3282403{col 40}{space 1}    0.15{col 49}{space 3}0.878{col 57}{space 4} -.592996{col 70}{space 3} .6936823
{txt}{space 4}1.contig_ks {c |}{col 17}{res}{space 2}-.0183411{col 29}{space 2} .3807062{col 40}{space 1}   -0.05{col 49}{space 3}0.962{col 57}{space 4}-.7645116{col 70}{space 3} .7278295
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2} 1.563897{col 29}{space 2} .7765638{col 57}{space 4} .0418595{col 70}{space 3} 3.085934
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2} 1.845284{col 29}{space 2} .7795122{col 57}{space 4} .3174685{col 70}{space 3}   3.3731
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. * Table SI-2
. eststo M7o: ologit success3 i.military_signal##democpolity_a i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-202.93491}  
Iteration 1:{space 3}log pseudolikelihood = {res: -166.6788}  
Iteration 2:{space 3}log pseudolikelihood = {res:-166.00113}  
Iteration 3:{space 3}log pseudolikelihood = {res:-165.99592}  
Iteration 4:{space 3}log pseudolikelihood = {res:-165.99592}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     51.70
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-165.99592{txt}{col 49}Pseudo R2{col 67}= {res}    0.1820

{txt}{ralign 83:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}         success3{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.military_signal {c |}{col 19}{res}{space 2} 1.838294{col 31}{space 2} .5186529{col 42}{space 1}    3.54{col 51}{space 3}0.000{col 59}{space 4} .8217531{col 72}{space 3} 2.854835
{txt}{space 2}1.democpolity_a {c |}{col 19}{res}{space 2} -1.11208{col 31}{space 2} .8375978{col 42}{space 1}   -1.33{col 51}{space 3}0.184{col 59}{space 4}-2.753742{col 72}{space 3} .5295812
{txt}{space 17} {c |}
{space 2}military_signal#{c |}
{space 4}democpolity_a {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2} .9899992{col 31}{space 2} .8760601{col 42}{space 1}    1.13{col 51}{space 3}0.258{col 59}{space 4} -.727047{col 72}{space 3} 2.707045
{txt}{space 17} {c |}
{space 2}1.democpolity_b {c |}{col 19}{res}{space 2}  1.32394{col 31}{space 2}  .462766{col 42}{space 1}    2.86{col 51}{space 3}0.004{col 59}{space 4} .4169355{col 72}{space 3} 2.230945
{txt}{space 6}theta2_mean {c |}{col 19}{res}{space 2} -.400648{col 31}{space 2} .2403988{col 42}{space 1}   -1.67{col 51}{space 3}0.096{col 59}{space 4} -.871821{col 72}{space 3}  .070525
{txt}{space 4}capshare_a_ks {c |}{col 19}{res}{space 2}-.8079846{col 31}{space 2} .6461573{col 42}{space 1}   -1.25{col 51}{space 3}0.211{col 59}{space 4} -2.07443{col 72}{space 3} .4584604
{txt}{space 6}1.territory {c |}{col 19}{res}{space 2}-.5618197{col 31}{space 2} .3563947{col 42}{space 1}   -1.58{col 51}{space 3}0.115{col 59}{space 4} -1.26034{col 72}{space 3} .1367011
{txt}{space 4}1.reparations {c |}{col 19}{res}{space 2}-.0570732{col 31}{space 2} .4404939{col 42}{space 1}   -0.13{col 51}{space 3}0.897{col 59}{space 4}-.9204253{col 72}{space 3} .8062789
{txt}{space 5}1.leadership {c |}{col 19}{res}{space 2} 2.341872{col 31}{space 2} .5965745{col 42}{space 1}    3.93{col 51}{space 3}0.000{col 59}{space 4} 1.172608{col 72}{space 3} 3.511137
{txt}{space 9}1.policy {c |}{col 19}{res}{space 2}-.0737112{col 31}{space 2} .3388518{col 42}{space 1}   -0.22{col 51}{space 3}0.828{col 59}{space 4}-.7378485{col 72}{space 3} .5904261
{txt}{space 6}1.contig_ks {c |}{col 19}{res}{space 2}-.0005887{col 31}{space 2} .3780901{col 42}{space 1}   -0.00{col 51}{space 3}0.999{col 59}{space 4}-.7416317{col 72}{space 3} .7404543
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}/cut1 {c |}{col 19}{res}{space 2} 1.133871{col 31}{space 2} .8445723{col 59}{space 4}-.5214605{col 72}{space 3} 2.789202
{txt}{space 12}/cut2 {c |}{col 19}{res}{space 2} 1.409665{col 31}{space 2} .8444226{col 59}{space 4}-.2453731{col 72}{space 3} 3.064703
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M8o: ologit success3 i.showofforce##democpolity_a i.mobilization##democpolity_a i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-202.93491}  
Iteration 1:{space 3}log pseudolikelihood = {res:-163.78188}  
Iteration 2:{space 3}log pseudolikelihood = {res:  -163.123}  
Iteration 3:{space 3}log pseudolikelihood = {res:-163.11866}  
Iteration 4:{space 3}log pseudolikelihood = {res:-163.11866}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}     56.19
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-163.11866{txt}{col 49}Pseudo R2{col 67}= {res}    0.1962

{txt}{ralign 81:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}       success3{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.showofforce {c |}{col 17}{res}{space 2} .3491455{col 29}{space 2} .7735708{col 40}{space 1}    0.45{col 49}{space 3}0.652{col 57}{space 4}-1.167025{col 70}{space 3} 1.865316
{txt}1.democpolity_a {c |}{col 17}{res}{space 2}-1.094558{col 29}{space 2} .8351987{col 40}{space 1}   -1.31{col 49}{space 3}0.190{col 57}{space 4}-2.731518{col 70}{space 3} .5424009
{txt}{space 15} {c |}
{space 4}showofforce#{c |}
{space 2}democpolity_a {c |}
{space 11}1 1  {c |}{col 17}{res}{space 2} 1.003291{col 29}{space 2} 1.301758{col 40}{space 1}    0.77{col 49}{space 3}0.441{col 57}{space 4}-1.548108{col 70}{space 3}  3.55469
{txt}{space 15} {c |}
{space 1}1.mobilization {c |}{col 17}{res}{space 2} 1.982671{col 29}{space 2} .5219175{col 40}{space 1}    3.80{col 49}{space 3}0.000{col 57}{space 4}  .959731{col 70}{space 3}  3.00561
{txt}{space 15} {c |}
{space 3}mobilization#{c |}
{space 2}democpolity_a {c |}
{space 11}1 1  {c |}{col 17}{res}{space 2} .9572933{col 29}{space 2} .8774934{col 40}{space 1}    1.09{col 49}{space 3}0.275{col 57}{space 4}-.7625622{col 70}{space 3} 2.677149
{txt}{space 15} {c |}
1.democpolity_b {c |}{col 17}{res}{space 2} 1.390757{col 29}{space 2} .4776358{col 40}{space 1}    2.91{col 49}{space 3}0.004{col 57}{space 4} .4546079{col 70}{space 3} 2.326906
{txt}{space 4}theta2_mean {c |}{col 17}{res}{space 2}-.4642657{col 29}{space 2} .2522721{col 40}{space 1}   -1.84{col 49}{space 3}0.066{col 57}{space 4}  -.95871{col 70}{space 3} .0301786
{txt}{space 2}capshare_a_ks {c |}{col 17}{res}{space 2}-.7660673{col 29}{space 2} .6705026{col 40}{space 1}   -1.14{col 49}{space 3}0.253{col 57}{space 4}-2.080228{col 70}{space 3} .5480936
{txt}{space 4}1.territory {c |}{col 17}{res}{space 2}-.5342366{col 29}{space 2} .3771756{col 40}{space 1}   -1.42{col 49}{space 3}0.157{col 57}{space 4}-1.273487{col 70}{space 3}  .205014
{txt}{space 2}1.reparations {c |}{col 17}{res}{space 2}-.1542346{col 29}{space 2}  .438856{col 40}{space 1}   -0.35{col 49}{space 3}0.725{col 57}{space 4}-1.014377{col 70}{space 3} .7059074
{txt}{space 3}1.leadership {c |}{col 17}{res}{space 2} 2.418166{col 29}{space 2} .6255957{col 40}{space 1}    3.87{col 49}{space 3}0.000{col 57}{space 4} 1.192021{col 70}{space 3} 3.644311
{txt}{space 7}1.policy {c |}{col 17}{res}{space 2}-.0214337{col 29}{space 2} .3374685{col 40}{space 1}   -0.06{col 49}{space 3}0.949{col 57}{space 4}-.6828598{col 70}{space 3} .6399925
{txt}{space 4}1.contig_ks {c |}{col 17}{res}{space 2} .0196359{col 29}{space 2} .3865065{col 40}{space 1}    0.05{col 49}{space 3}0.959{col 57}{space 4}-.7379028{col 70}{space 3} .7771747
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}/cut1 {c |}{col 17}{res}{space 2} 1.236972{col 29}{space 2} .8499464{col 57}{space 4}-.4288924{col 70}{space 3} 2.902836
{txt}{space 10}/cut2 {c |}{col 17}{res}{space 2}  1.51916{col 29}{space 2} .8488291{col 57}{space 4}-.1445142{col 70}{space 3} 3.182835
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M9o: ologit success3 i.military_signal##democadv i.democpolity_a i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-202.93491}  
Iteration 1:{space 3}log pseudolikelihood = {res:-166.66727}  
Iteration 2:{space 3}log pseudolikelihood = {res:-166.09601}  
Iteration 3:{space 3}log pseudolikelihood = {res:-166.09298}  
Iteration 4:{space 3}log pseudolikelihood = {res:-166.09298}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     53.62
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-166.09298{txt}{col 49}Pseudo R2{col 67}= {res}    0.1815

{txt}{ralign 90:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                success3{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}1.military_signal {c |}{col 26}{res}{space 2} 2.125514{col 38}{space 2} .6916446{col 49}{space 1}    3.07{col 58}{space 3}0.002{col 66}{space 4} .7699155{col 79}{space 3} 3.481113
{txt}{space 14}1.democadv {c |}{col 26}{res}{space 2}-.4503525{col 38}{space 2} .8706895{col 49}{space 1}   -0.52{col 58}{space 3}0.605{col 66}{space 4}-2.156873{col 79}{space 3} 1.256168
{txt}{space 24} {c |}
military_signal#democadv {c |}
{space 20}1 1  {c |}{col 26}{res}{space 2} .0646807{col 38}{space 2} .8710916{col 49}{space 1}    0.07{col 58}{space 3}0.941{col 66}{space 4}-1.642628{col 79}{space 3} 1.771989
{txt}{space 24} {c |}
{space 9}1.democpolity_a {c |}{col 26}{res}{space 2}-.0952528{col 38}{space 2} .5057508{col 49}{space 1}   -0.19{col 58}{space 3}0.851{col 66}{space 4}-1.086506{col 79}{space 3} .8960006
{txt}{space 9}1.democpolity_b {c |}{col 26}{res}{space 2} 1.047416{col 38}{space 2} .4527931{col 49}{space 1}    2.31{col 58}{space 3}0.021{col 66}{space 4}  .159958{col 79}{space 3} 1.934874
{txt}{space 13}theta2_mean {c |}{col 26}{res}{space 2} -.427725{col 38}{space 2}  .241338{col 49}{space 1}   -1.77{col 58}{space 3}0.076{col 66}{space 4}-.9007388{col 79}{space 3} .0452888
{txt}{space 11}capshare_a_ks {c |}{col 26}{res}{space 2}-.8490955{col 38}{space 2} .6048055{col 49}{space 1}   -1.40{col 58}{space 3}0.160{col 66}{space 4}-2.034492{col 79}{space 3} .3363014
{txt}{space 13}1.territory {c |}{col 26}{res}{space 2}-.6053831{col 38}{space 2} .3618103{col 49}{space 1}   -1.67{col 58}{space 3}0.094{col 66}{space 4}-1.314518{col 79}{space 3}  .103752
{txt}{space 11}1.reparations {c |}{col 26}{res}{space 2}-.1747134{col 38}{space 2} .4097163{col 49}{space 1}   -0.43{col 58}{space 3}0.670{col 66}{space 4}-.9777426{col 79}{space 3} .6283157
{txt}{space 12}1.leadership {c |}{col 26}{res}{space 2} 2.310809{col 38}{space 2} .6393502{col 49}{space 1}    3.61{col 58}{space 3}0.000{col 66}{space 4} 1.057706{col 79}{space 3} 3.563913
{txt}{space 16}1.policy {c |}{col 26}{res}{space 2}-.0178898{col 38}{space 2} .3267019{col 49}{space 1}   -0.05{col 58}{space 3}0.956{col 66}{space 4}-.6582138{col 79}{space 3} .6224342
{txt}{space 13}1.contig_ks {c |}{col 26}{res}{space 2}-.0019762{col 38}{space 2} .3743704{col 49}{space 1}   -0.01{col 58}{space 3}0.996{col 66}{space 4}-.7357287{col 79}{space 3} .7317762
{txt}{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}/cut1 {c |}{col 26}{res}{space 2} 1.108857{col 38}{space 2} .9647553{col 66}{space 4}-.7820289{col 79}{space 3} 2.999742
{txt}{space 19}/cut2 {c |}{col 26}{res}{space 2} 1.384578{col 38}{space 2} .9702777{col 66}{space 4}-.5171319{col 79}{space 3} 3.286287
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M10o: ologit success3 i.showofforce##democadv i.mobilization##democadv i.democpolity_a i.democpolity_b theta2_mean   c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-202.93491}  
Iteration 1:{space 3}log pseudolikelihood = {res:-163.15876}  
Iteration 2:{space 3}log pseudolikelihood = {res:-162.47381}  
Iteration 3:{space 3}log pseudolikelihood = {res:-162.46877}  
Iteration 4:{space 3}log pseudolikelihood = {res:-162.46877}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}     54.66
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-162.46877{txt}{col 49}Pseudo R2{col 67}= {res}    0.1994

{txt}{ralign 87:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}             success3{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}1.showofforce {c |}{col 23}{res}{space 2} 1.333477{col 35}{space 2} .8657841{col 46}{space 1}    1.54{col 55}{space 3}0.124{col 63}{space 4}-.3634287{col 76}{space 3} 3.030383
{txt}{space 11}1.democadv {c |}{col 23}{res}{space 2}-.3656728{col 35}{space 2} .8957506{col 46}{space 1}   -0.41{col 55}{space 3}0.683{col 63}{space 4}-2.121312{col 76}{space 3} 1.389966
{txt}{space 21} {c |}
{space 1}showofforce#democadv {c |}
{space 17}1 1  {c |}{col 23}{res}{space 2}  -1.7814{col 35}{space 2} 1.148613{col 46}{space 1}   -1.55{col 55}{space 3}0.121{col 63}{space 4}-4.032639{col 76}{space 3} .4698398
{txt}{space 21} {c |}
{space 7}1.mobilization {c |}{col 23}{res}{space 2} 2.292732{col 35}{space 2} .7109384{col 46}{space 1}    3.22{col 55}{space 3}0.001{col 63}{space 4} .8993186{col 76}{space 3} 3.686146
{txt}{space 21} {c |}
mobilization#democadv {c |}
{space 17}1 1  {c |}{col 23}{res}{space 2} .0731201{col 35}{space 2}  .888334{col 46}{space 1}    0.08{col 55}{space 3}0.934{col 63}{space 4}-1.667982{col 76}{space 3} 1.814223
{txt}{space 21} {c |}
{space 6}1.democpolity_a {c |}{col 23}{res}{space 2}-.1094444{col 35}{space 2}  .526837{col 46}{space 1}   -0.21{col 55}{space 3}0.835{col 63}{space 4}-1.142026{col 76}{space 3} .9231372
{txt}{space 6}1.democpolity_b {c |}{col 23}{res}{space 2} 1.192489{col 35}{space 2} .4729255{col 46}{space 1}    2.52{col 55}{space 3}0.012{col 63}{space 4}  .265572{col 76}{space 3} 2.119406
{txt}{space 10}theta2_mean {c |}{col 23}{res}{space 2}-.4949175{col 35}{space 2} .2546044{col 46}{space 1}   -1.94{col 55}{space 3}0.052{col 63}{space 4}-.9939329{col 76}{space 3} .0040978
{txt}{space 8}capshare_a_ks {c |}{col 23}{res}{space 2}-.7025327{col 35}{space 2} .6320324{col 46}{space 1}   -1.11{col 55}{space 3}0.266{col 63}{space 4}-1.941293{col 76}{space 3} .5362281
{txt}{space 10}1.territory {c |}{col 23}{res}{space 2}-.5720939{col 35}{space 2} .3894611{col 46}{space 1}   -1.47{col 55}{space 3}0.142{col 63}{space 4}-1.335424{col 76}{space 3} .1912359
{txt}{space 8}1.reparations {c |}{col 23}{res}{space 2}-.2526033{col 35}{space 2} .4134411{col 46}{space 1}   -0.61{col 55}{space 3}0.541{col 63}{space 4}-1.062933{col 76}{space 3} .5577264
{txt}{space 9}1.leadership {c |}{col 23}{res}{space 2} 2.419154{col 35}{space 2} .6897975{col 46}{space 1}    3.51{col 55}{space 3}0.000{col 63}{space 4} 1.067175{col 76}{space 3} 3.771132
{txt}{space 13}1.policy {c |}{col 23}{res}{space 2} .0080479{col 35}{space 2} .3282716{col 46}{space 1}    0.02{col 55}{space 3}0.980{col 63}{space 4}-.6353526{col 76}{space 3} .6514484
{txt}{space 10}1.contig_ks {c |}{col 23}{res}{space 2} .0506571{col 35}{space 2} .3899086{col 46}{space 1}    0.13{col 55}{space 3}0.897{col 63}{space 4}-.7135498{col 76}{space 3}  .814864
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}/cut1 {c |}{col 23}{res}{space 2} 1.382105{col 35}{space 2} .9936201{col 63}{space 4} -.565355{col 76}{space 3} 3.329564
{txt}{space 16}/cut2 {c |}{col 23}{res}{space 2}  1.66564{col 35}{space 2} .9996299{col 63}{space 4}-.2935982{col 76}{space 3} 3.624879
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M11o: ologit success3 i.military_signal##nonpersonalist_a_tss i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-202.93491}  
Iteration 1:{space 3}log pseudolikelihood = {res: -165.4426}  
Iteration 2:{space 3}log pseudolikelihood = {res:-165.02325}  
Iteration 3:{space 3}log pseudolikelihood = {res:-165.02194}  
Iteration 4:{space 3}log pseudolikelihood = {res:-165.02194}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     55.29
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-165.02194{txt}{col 49}Pseudo R2{col 67}= {res}    0.1868

{txt}{ralign 88:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              success3{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.military_signal {c |}{col 24}{res}{space 2} 2.873812{col 36}{space 2} 1.010983{col 47}{space 1}    2.84{col 56}{space 3}0.004{col 64}{space 4} .8923211{col 77}{space 3} 4.855302
{txt}1.nonpersonalist_a_tss {c |}{col 24}{res}{space 2} 1.478215{col 36}{space 2} 1.116912{col 47}{space 1}    1.32{col 56}{space 3}0.186{col 64}{space 4}-.7108923{col 77}{space 3} 3.667323
{txt}{space 22} {c |}
{space 7}military_signal#{c |}
{space 2}nonpersonalist_a_tss {c |}
{space 18}1 1  {c |}{col 24}{res}{space 2}-.7950919{col 36}{space 2} 1.116419{col 47}{space 1}   -0.71{col 56}{space 3}0.476{col 64}{space 4}-2.983232{col 77}{space 3} 1.393048
{txt}{space 22} {c |}
{space 7}1.democpolity_b {c |}{col 24}{res}{space 2} 1.356516{col 36}{space 2}  .431748{col 47}{space 1}    3.14{col 56}{space 3}0.002{col 64}{space 4} .5103054{col 77}{space 3} 2.202726
{txt}{space 11}theta2_mean {c |}{col 24}{res}{space 2}-.1182425{col 36}{space 2} .2299591{col 47}{space 1}   -0.51{col 56}{space 3}0.607{col 64}{space 4}-.5689541{col 77}{space 3} .3324691
{txt}{space 9}capshare_a_ks {c |}{col 24}{res}{space 2}-.6162577{col 36}{space 2} .6566752{col 47}{space 1}   -0.94{col 56}{space 3}0.348{col 64}{space 4}-1.903317{col 77}{space 3}  .670802
{txt}{space 11}1.territory {c |}{col 24}{res}{space 2}-.3669918{col 36}{space 2} .3760718{col 47}{space 1}   -0.98{col 56}{space 3}0.329{col 64}{space 4}-1.104079{col 77}{space 3} .3700952
{txt}{space 9}1.reparations {c |}{col 24}{res}{space 2}-.1557942{col 36}{space 2} .4307575{col 47}{space 1}   -0.36{col 56}{space 3}0.718{col 64}{space 4}-1.000063{col 77}{space 3}  .688475
{txt}{space 10}1.leadership {c |}{col 24}{res}{space 2} 2.736314{col 36}{space 2} .7910014{col 47}{space 1}    3.46{col 56}{space 3}0.001{col 64}{space 4} 1.185979{col 77}{space 3} 4.286648
{txt}{space 14}1.policy {c |}{col 24}{res}{space 2} .1112996{col 36}{space 2} .3482548{col 47}{space 1}    0.32{col 56}{space 3}0.749{col 64}{space 4}-.5712671{col 77}{space 3} .7938664
{txt}{space 11}1.contig_ks {c |}{col 24}{res}{space 2} .1566234{col 36}{space 2}  .344988{col 47}{space 1}    0.45{col 56}{space 3}0.650{col 64}{space 4}-.5195407{col 77}{space 3} .8327876
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}/cut1 {c |}{col 24}{res}{space 2} 3.270012{col 36}{space 2} 1.218896{col 64}{space 4} .8810194{col 77}{space 3} 5.659004
{txt}{space 17}/cut2 {c |}{col 24}{res}{space 2} 3.547975{col 36}{space 2} 1.227027{col 64}{space 4} 1.143046{col 77}{space 3} 5.952904
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M12o: ologit success3 i.showofforce##nonpersonalist_a_tss i.mobilization##nonpersonalist_a_tss i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-202.93491}  
Iteration 1:{space 3}log pseudolikelihood = {res: -162.2496}  
Iteration 2:{space 3}log pseudolikelihood = {res:-161.80801}  
Iteration 3:{space 3}log pseudolikelihood = {res:-161.80689}  
Iteration 4:{space 3}log pseudolikelihood = {res:-161.80689}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}     59.67
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-161.80689{txt}{col 49}Pseudo R2{col 67}= {res}    0.2027

{txt}{ralign 88:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}              success3{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.showofforce {c |}{col 24}{res}{space 2} 2.108231{col 36}{space 2}  1.26215{col 47}{space 1}    1.67{col 56}{space 3}0.095{col 64}{space 4} -.365538{col 77}{space 3}    4.582
{txt}1.nonpersonalist_a_tss {c |}{col 24}{res}{space 2} 1.507331{col 36}{space 2} 1.131049{col 47}{space 1}    1.33{col 56}{space 3}0.183{col 64}{space 4}-.7094843{col 77}{space 3} 3.724146
{txt}{space 22} {c |}
{space 11}showofforce#{c |}
{space 2}nonpersonalist_a_tss {c |}
{space 18}1 1  {c |}{col 24}{res}{space 2}-1.733602{col 36}{space 2} 1.439068{col 47}{space 1}   -1.20{col 56}{space 3}0.228{col 64}{space 4}-4.554123{col 77}{space 3}  1.08692
{txt}{space 22} {c |}
{space 8}1.mobilization {c |}{col 24}{res}{space 2} 2.959222{col 36}{space 2} 1.020867{col 47}{space 1}    2.90{col 56}{space 3}0.004{col 64}{space 4} .9583595{col 77}{space 3} 4.960085
{txt}{space 22} {c |}
{space 10}mobilization#{c |}
{space 2}nonpersonalist_a_tss {c |}
{space 18}1 1  {c |}{col 24}{res}{space 2}-.7268774{col 36}{space 2} 1.125356{col 47}{space 1}   -0.65{col 56}{space 3}0.518{col 64}{space 4}-2.932536{col 77}{space 3} 1.478781
{txt}{space 22} {c |}
{space 7}1.democpolity_b {c |}{col 24}{res}{space 2}  1.45697{col 36}{space 2}  .439243{col 47}{space 1}    3.32{col 56}{space 3}0.001{col 64}{space 4} .5960691{col 77}{space 3}  2.31787
{txt}{space 11}theta2_mean {c |}{col 24}{res}{space 2}-.1665979{col 36}{space 2} .2398826{col 47}{space 1}   -0.69{col 56}{space 3}0.487{col 64}{space 4}-.6367591{col 77}{space 3} .3035634
{txt}{space 9}capshare_a_ks {c |}{col 24}{res}{space 2}-.5602381{col 36}{space 2} .6805577{col 47}{space 1}   -0.82{col 56}{space 3}0.410{col 64}{space 4}-1.894107{col 77}{space 3} .7736305
{txt}{space 11}1.territory {c |}{col 24}{res}{space 2}-.3091245{col 36}{space 2}  .397494{col 47}{space 1}   -0.78{col 56}{space 3}0.437{col 64}{space 4}-1.088198{col 77}{space 3} .4699495
{txt}{space 9}1.reparations {c |}{col 24}{res}{space 2}-.2522936{col 36}{space 2} .4410788{col 47}{space 1}   -0.57{col 56}{space 3}0.567{col 64}{space 4}-1.116792{col 77}{space 3}  .612205
{txt}{space 10}1.leadership {c |}{col 24}{res}{space 2} 2.799458{col 36}{space 2} .8433148{col 47}{space 1}    3.32{col 56}{space 3}0.001{col 64}{space 4} 1.146591{col 77}{space 3} 4.452324
{txt}{space 14}1.policy {c |}{col 24}{res}{space 2} .1805202{col 36}{space 2} .3538494{col 47}{space 1}    0.51{col 56}{space 3}0.610{col 64}{space 4}-.5130119{col 77}{space 3} .8740522
{txt}{space 11}1.contig_ks {c |}{col 24}{res}{space 2} .1867268{col 36}{space 2} .3596397{col 47}{space 1}    0.52{col 56}{space 3}0.604{col 64}{space 4} -.518154{col 77}{space 3} .8916076
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}/cut1 {c |}{col 24}{res}{space 2} 3.440264{col 36}{space 2} 1.226775{col 64}{space 4} 1.035828{col 77}{space 3} 5.844699
{txt}{space 17}/cut2 {c |}{col 24}{res}{space 2} 3.725656{col 36}{space 2} 1.236064{col 64}{space 4} 1.303016{col 77}{space 3} 6.148296
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. esttab M7o M9o M11o , se(3) pr2 b(3) star(+ 0.10 * 0.05 ** 0.01 *** 0.001)
{res}
{txt}{hline 60}
{txt}                      (1)             (2)             (3)   
{txt}                 success3        success3        success3   
{txt}{hline 60}
{res}success3                                                    {txt}
{txt}0.military~l{res}        0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.military~l{res}        1.838***        2.126**         2.874** {txt}
            {res} {ralign 12:{txt:(}0.519{txt:)}}    {ralign 12:{txt:(}0.692{txt:)}}    {ralign 12:{txt:(}1.011{txt:)}}   {txt}

{txt}0.democpol~a{res}        0.000           0.000                   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}1.democpol~a{res}       -1.112          -0.095                   {txt}
            {res} {ralign 12:{txt:(}0.838{txt:)}}    {ralign 12:{txt:(}0.506{txt:)}}                   {txt}

{txt}0.military~a{res}        0.000                                   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}                                   {txt}

{txt}0.military~a{res}        0.000                                   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}                                   {txt}

{txt}1.military~a{res}        0.000                                   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}                                   {txt}

{txt}1.military~a{res}        0.990                                   {txt}
            {res} {ralign 12:{txt:(}0.876{txt:)}}                                   {txt}

{txt}0.democpol~b{res}        0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.democpol~b{res}        1.324**         1.047*          1.357** {txt}
            {res} {ralign 12:{txt:(}0.463{txt:)}}    {ralign 12:{txt:(}0.453{txt:)}}    {ralign 12:{txt:(}0.432{txt:)}}   {txt}

{txt}theta2_mean {res}       -0.401+         -0.428+         -0.118   {txt}
            {res} {ralign 12:{txt:(}0.240{txt:)}}    {ralign 12:{txt:(}0.241{txt:)}}    {ralign 12:{txt:(}0.230{txt:)}}   {txt}

{txt}capshare_a~s{res}       -0.808          -0.849          -0.616   {txt}
            {res} {ralign 12:{txt:(}0.646{txt:)}}    {ralign 12:{txt:(}0.605{txt:)}}    {ralign 12:{txt:(}0.657{txt:)}}   {txt}

{txt}0.territory {res}        0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.territory {res}       -0.562          -0.605+         -0.367   {txt}
            {res} {ralign 12:{txt:(}0.356{txt:)}}    {ralign 12:{txt:(}0.362{txt:)}}    {ralign 12:{txt:(}0.376{txt:)}}   {txt}

{txt}0.reparati~s{res}        0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.reparati~s{res}       -0.057          -0.175          -0.156   {txt}
            {res} {ralign 12:{txt:(}0.440{txt:)}}    {ralign 12:{txt:(}0.410{txt:)}}    {ralign 12:{txt:(}0.431{txt:)}}   {txt}

{txt}0.leadership{res}        0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.leadership{res}        2.342***        2.311***        2.736***{txt}
            {res} {ralign 12:{txt:(}0.597{txt:)}}    {ralign 12:{txt:(}0.639{txt:)}}    {ralign 12:{txt:(}0.791{txt:)}}   {txt}

{txt}0.policy    {res}        0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.policy    {res}       -0.074          -0.018           0.111   {txt}
            {res} {ralign 12:{txt:(}0.339{txt:)}}    {ralign 12:{txt:(}0.327{txt:)}}    {ralign 12:{txt:(}0.348{txt:)}}   {txt}

{txt}0.contig_ks {res}        0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.contig_ks {res}       -0.001          -0.002           0.157   {txt}
            {res} {ralign 12:{txt:(}0.378{txt:)}}    {ralign 12:{txt:(}0.374{txt:)}}    {ralign 12:{txt:(}0.345{txt:)}}   {txt}

{txt}0.democadv  {res}                        0.000                   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}1.democadv  {res}                       -0.450                   {txt}
            {res}                 {ralign 12:{txt:(}0.871{txt:)}}                   {txt}

{txt}0.military~v{res}                        0.000                   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}0.military~v{res}                        0.000                   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}1.military~v{res}                        0.000                   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}1.military~v{res}                        0.065                   {txt}
            {res}                 {ralign 12:{txt:(}0.871{txt:)}}                   {txt}

{txt}0.nonperso~s{res}                                        0.000   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.nonperso~s{res}                                        1.478   {txt}
            {res}                                 {ralign 12:{txt:(}1.117{txt:)}}   {txt}

{txt}0.military~t{res}                                        0.000   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}0.military~t{res}                                        0.000   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.military~t{res}                                        0.000   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.military~t{res}                                       -0.795   {txt}
            {res}                                 {ralign 12:{txt:(}1.116{txt:)}}   {txt}
{hline 60}
{res}/                                                           {txt}
{txt}cut1        {res}        1.134           1.109           3.270** {txt}
            {res} {ralign 12:{txt:(}0.845{txt:)}}    {ralign 12:{txt:(}0.965{txt:)}}    {ralign 12:{txt:(}1.219{txt:)}}   {txt}

{txt}cut2        {res}        1.410+          1.385           3.548** {txt}
            {res} {ralign 12:{txt:(}0.844{txt:)}}    {ralign 12:{txt:(}0.970{txt:)}}    {ralign 12:{txt:(}1.227{txt:)}}   {txt}
{txt}{hline 60}
{txt}N           {res}          242             242             242   {txt}
{txt}pseudo R-sq {res}        0.182           0.182           0.187   {txt}
{txt}{hline 60}
{txt}Standard errors in parentheses
{txt}+ p<0.10, * p<0.05, ** p<0.01, *** p<0.001

{com}. 
. 
. * Table SI-3
. eststo M1f: logit success_force i.military_signal, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res:-152.54346}  
Iteration 2:{space 3}log pseudolikelihood = {res: -152.3968}  
Iteration 3:{space 3}log pseudolikelihood = {res:-152.39659}  
Iteration 4:{space 3}log pseudolikelihood = {res:-152.39659}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}1{txt}){col 67}= {res}     23.06
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-152.39659{txt}{col 49}Pseudo R2{col 67}= {res}    0.0798

{txt}{ralign 83:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}    success_force{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.military_signal {c |}{col 19}{res}{space 2} 1.781607{col 31}{space 2} .3709753{col 42}{space 1}    4.80{col 51}{space 3}0.000{col 59}{space 4} 1.054509{col 72}{space 3} 2.508705
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-1.694596{col 31}{space 2} .3514861{col 42}{space 1}   -4.82{col 51}{space 3}0.000{col 59}{space 4}-2.383496{col 72}{space 3}-1.005696
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M3f: logit success_force i.military_signal i.democpolity_a i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res:-133.89659}  
Iteration 2:{space 3}log pseudolikelihood = {res:-133.64717}  
Iteration 3:{space 3}log pseudolikelihood = {res:-133.64686}  
Iteration 4:{space 3}log pseudolikelihood = {res:-133.64686}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}     47.74
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-133.64686{txt}{col 49}Pseudo R2{col 67}= {res}    0.1930

{txt}{ralign 83:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}    success_force{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.military_signal {c |}{col 19}{res}{space 2} 2.116847{col 31}{space 2} .4332257{col 42}{space 1}    4.89{col 51}{space 3}0.000{col 59}{space 4}  1.26774{col 72}{space 3} 2.965954
{txt}{space 2}1.democpolity_a {c |}{col 19}{res}{space 2}-.1991399{col 31}{space 2} .4083828{col 42}{space 1}   -0.49{col 51}{space 3}0.626{col 59}{space 4}-.9995554{col 72}{space 3} .6012757
{txt}{space 2}1.democpolity_b {c |}{col 19}{res}{space 2}  1.13522{col 31}{space 2} .4068352{col 42}{space 1}    2.79{col 51}{space 3}0.005{col 59}{space 4}  .337838{col 72}{space 3} 1.932603
{txt}{space 6}theta2_mean {c |}{col 19}{res}{space 2}-.4104901{col 31}{space 2} .2509547{col 42}{space 1}   -1.64{col 51}{space 3}0.102{col 59}{space 4}-.9023524{col 72}{space 3} .0813721
{txt}{space 4}capshare_a_ks {c |}{col 19}{res}{space 2}-.6742009{col 31}{space 2} .6246377{col 42}{space 1}   -1.08{col 51}{space 3}0.280{col 59}{space 4}-1.898468{col 72}{space 3} .5500664
{txt}{space 6}1.territory {c |}{col 19}{res}{space 2}-.6139773{col 31}{space 2} .3322053{col 42}{space 1}   -1.85{col 51}{space 3}0.065{col 59}{space 4}-1.265088{col 72}{space 3}  .037133
{txt}{space 4}1.reparations {c |}{col 19}{res}{space 2} .0077853{col 31}{space 2} .4838477{col 42}{space 1}    0.02{col 51}{space 3}0.987{col 59}{space 4}-.9405388{col 72}{space 3} .9561094
{txt}{space 5}1.leadership {c |}{col 19}{res}{space 2}  2.17781{col 31}{space 2}  .602942{col 42}{space 1}    3.61{col 51}{space 3}0.000{col 59}{space 4} .9960657{col 72}{space 3} 3.359555
{txt}{space 9}1.policy {c |}{col 19}{res}{space 2}-.0120695{col 31}{space 2} .3198511{col 42}{space 1}   -0.04{col 51}{space 3}0.970{col 59}{space 4}-.6389661{col 72}{space 3} .6148272
{txt}{space 6}1.contig_ks {c |}{col 19}{res}{space 2}-.0025307{col 31}{space 2} .3637542{col 42}{space 1}   -0.01{col 51}{space 3}0.994{col 59}{space 4}-.7154758{col 72}{space 3} .7104143
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} -1.45461{col 31}{space 2} .7334274{col 42}{space 1}   -1.98{col 51}{space 3}0.047{col 59}{space 4}-2.892102{col 72}{space 3}-.0171193
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M2f: logit success_force i.showofforce i.mobilization, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res:-150.37771}  
Iteration 2:{space 3}log pseudolikelihood = {res:-150.20573}  
Iteration 3:{space 3}log pseudolikelihood = {res:-150.20552}  
Iteration 4:{space 3}log pseudolikelihood = {res:-150.20552}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}2{txt}){col 67}= {res}     24.79
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-150.20552{txt}{col 49}Pseudo R2{col 67}= {res}    0.0931

{txt}{ralign 80:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1} success_force{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}1.showofforce {c |}{col 16}{res}{space 2} .6829948{col 28}{space 2} .6322939{col 39}{space 1}    1.08{col 48}{space 3}0.280{col 56}{space 4}-.5562785{col 69}{space 3} 1.922268
{txt}1.mobilization {c |}{col 16}{res}{space 2} 1.872579{col 28}{space 2}  .379694{col 39}{space 1}    4.93{col 48}{space 3}0.000{col 56}{space 4} 1.128392{col 69}{space 3} 2.616765
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-1.694596{col 28}{space 2} .3514861{col 39}{space 1}   -4.82{col 48}{space 3}0.000{col 56}{space 4}-2.383496{col 69}{space 3}-1.005696
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M4f: logit success_force i.showofforce i.mobilization i.democpolity_a i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res: -130.9549}  
Iteration 2:{space 3}log pseudolikelihood = {res:-130.68344}  
Iteration 3:{space 3}log pseudolikelihood = {res:-130.68321}  
Iteration 4:{space 3}log pseudolikelihood = {res:-130.68321}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     51.93
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-130.68321{txt}{col 49}Pseudo R2{col 67}= {res}    0.2109

{txt}{ralign 81:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}  success_force{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.showofforce {c |}{col 17}{res}{space 2} .6059104{col 29}{space 2}  .588264{col 40}{space 1}    1.03{col 49}{space 3}0.303{col 57}{space 4}-.5470659{col 70}{space 3} 1.758887
{txt}{space 1}1.mobilization {c |}{col 17}{res}{space 2} 2.260604{col 29}{space 2} .4401567{col 40}{space 1}    5.14{col 49}{space 3}0.000{col 57}{space 4} 1.397913{col 70}{space 3} 3.123296
{txt}1.democpolity_a {c |}{col 17}{res}{space 2}-.2038161{col 29}{space 2} .4183234{col 40}{space 1}   -0.49{col 49}{space 3}0.626{col 57}{space 4}-1.023715{col 70}{space 3} .6160827
{txt}1.democpolity_b {c |}{col 17}{res}{space 2} 1.203743{col 29}{space 2} .4184193{col 40}{space 1}    2.88{col 49}{space 3}0.004{col 57}{space 4} .3836565{col 70}{space 3}  2.02383
{txt}{space 4}theta2_mean {c |}{col 17}{res}{space 2}-.4819733{col 29}{space 2} .2656215{col 40}{space 1}   -1.81{col 49}{space 3}0.070{col 57}{space 4}-1.002582{col 70}{space 3} .0386354
{txt}{space 2}capshare_a_ks {c |}{col 17}{res}{space 2}-.6217022{col 29}{space 2} .6529072{col 40}{space 1}   -0.95{col 49}{space 3}0.341{col 57}{space 4}-1.901377{col 70}{space 3} .6579724
{txt}{space 4}1.territory {c |}{col 17}{res}{space 2}-.5907774{col 29}{space 2} .3471182{col 40}{space 1}   -1.70{col 49}{space 3}0.089{col 57}{space 4}-1.271117{col 70}{space 3} .0895618
{txt}{space 2}1.reparations {c |}{col 17}{res}{space 2}-.0881099{col 29}{space 2} .4882356{col 40}{space 1}   -0.18{col 49}{space 3}0.857{col 57}{space 4}-1.045034{col 70}{space 3} .8688143
{txt}{space 3}1.leadership {c |}{col 17}{res}{space 2} 2.247236{col 29}{space 2} .6294087{col 40}{space 1}    3.57{col 49}{space 3}0.000{col 57}{space 4} 1.013617{col 70}{space 3} 3.480854
{txt}{space 7}1.policy {c |}{col 17}{res}{space 2} .0421824{col 29}{space 2} .3224338{col 40}{space 1}    0.13{col 49}{space 3}0.896{col 57}{space 4}-.5897763{col 70}{space 3} .6741412
{txt}{space 4}1.contig_ks {c |}{col 17}{res}{space 2} .0227955{col 29}{space 2} .3746653{col 40}{space 1}    0.06{col 49}{space 3}0.951{col 57}{space 4} -.711535{col 70}{space 3}  .757126
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.563408{col 29}{space 2} .7358185{col 40}{space 1}   -2.12{col 49}{space 3}0.034{col 57}{space 4}-3.005585{col 70}{space 3}-.1212298
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. esttab M1f M3f M2f M4f, se(3) pr2 b(3) star(+ 0.10 * 0.05 ** 0.01 *** 0.001)
{res}
{txt}{hline 76}
{txt}                      (1)             (2)             (3)             (4)   
{txt}             success_fo~e    success_fo~e    success_fo~e    success_fo~e   
{txt}{hline 76}
{res}success_fo~e                                                                {txt}
{txt}0.military~l{res}        0.000           0.000                                   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}                                   {txt}

{txt}1.military~l{res}        1.782***        2.117***                                {txt}
            {res} {ralign 12:{txt:(}0.371{txt:)}}    {ralign 12:{txt:(}0.433{txt:)}}                                   {txt}

{txt}0.democpol~a{res}                        0.000                           0.000   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.democpol~a{res}                       -0.199                          -0.204   {txt}
            {res}                 {ralign 12:{txt:(}0.408{txt:)}}                    {ralign 12:{txt:(}0.418{txt:)}}   {txt}

{txt}0.democpol~b{res}                        0.000                           0.000   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.democpol~b{res}                        1.135**                         1.204** {txt}
            {res}                 {ralign 12:{txt:(}0.407{txt:)}}                    {ralign 12:{txt:(}0.418{txt:)}}   {txt}

{txt}theta2_mean {res}                       -0.410                          -0.482+  {txt}
            {res}                 {ralign 12:{txt:(}0.251{txt:)}}                    {ralign 12:{txt:(}0.266{txt:)}}   {txt}

{txt}capshare_a~s{res}                       -0.674                          -0.622   {txt}
            {res}                 {ralign 12:{txt:(}0.625{txt:)}}                    {ralign 12:{txt:(}0.653{txt:)}}   {txt}

{txt}0.territory {res}                        0.000                           0.000   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.territory {res}                       -0.614+                         -0.591+  {txt}
            {res}                 {ralign 12:{txt:(}0.332{txt:)}}                    {ralign 12:{txt:(}0.347{txt:)}}   {txt}

{txt}0.reparati~s{res}                        0.000                           0.000   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.reparati~s{res}                        0.008                          -0.088   {txt}
            {res}                 {ralign 12:{txt:(}0.484{txt:)}}                    {ralign 12:{txt:(}0.488{txt:)}}   {txt}

{txt}0.leadership{res}                        0.000                           0.000   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.leadership{res}                        2.178***                        2.247***{txt}
            {res}                 {ralign 12:{txt:(}0.603{txt:)}}                    {ralign 12:{txt:(}0.629{txt:)}}   {txt}

{txt}0.policy    {res}                        0.000                           0.000   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.policy    {res}                       -0.012                           0.042   {txt}
            {res}                 {ralign 12:{txt:(}0.320{txt:)}}                    {ralign 12:{txt:(}0.322{txt:)}}   {txt}

{txt}0.contig_ks {res}                        0.000                           0.000   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.contig_ks {res}                       -0.003                           0.023   {txt}
            {res}                 {ralign 12:{txt:(}0.364{txt:)}}                    {ralign 12:{txt:(}0.375{txt:)}}   {txt}

{txt}0.showoffo~e{res}                                        0.000           0.000   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.showoffo~e{res}                                        0.683           0.606   {txt}
            {res}                                 {ralign 12:{txt:(}0.632{txt:)}}    {ralign 12:{txt:(}0.588{txt:)}}   {txt}

{txt}0.mobiliza~n{res}                                        0.000           0.000   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.mobiliza~n{res}                                        1.873***        2.261***{txt}
            {res}                                 {ralign 12:{txt:(}0.380{txt:)}}    {ralign 12:{txt:(}0.440{txt:)}}   {txt}

{txt}_cons       {res}       -1.695***       -1.455*         -1.695***       -1.563*  {txt}
            {res} {ralign 12:{txt:(}0.351{txt:)}}    {ralign 12:{txt:(}0.733{txt:)}}    {ralign 12:{txt:(}0.351{txt:)}}    {ralign 12:{txt:(}0.736{txt:)}}   {txt}
{txt}{hline 76}
{txt}N           {res}          242             242             242             242   {txt}
{txt}pseudo R-sq {res}        0.080           0.193           0.093           0.211   {txt}
{txt}{hline 76}
{txt}Standard errors in parentheses
{txt}+ p<0.10, * p<0.05, ** p<0.01, *** p<0.001

{com}. 
. 
. * Table SI-4
. eststo M7f: logit success_force i.military_signal##democpolity_a i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res:-133.53791}  
Iteration 2:{space 3}log pseudolikelihood = {res:-133.14285}  
Iteration 3:{space 3}log pseudolikelihood = {res:-133.14068}  
Iteration 4:{space 3}log pseudolikelihood = {res:-133.14068}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     49.21
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-133.14068{txt}{col 49}Pseudo R2{col 67}= {res}    0.1961

{txt}{ralign 83:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}    success_force{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.military_signal {c |}{col 19}{res}{space 2} 1.771925{col 31}{space 2} .5065233{col 42}{space 1}    3.50{col 51}{space 3}0.000{col 59}{space 4} .7791578{col 72}{space 3} 2.764693
{txt}{space 2}1.democpolity_a {c |}{col 19}{res}{space 2}-.9735378{col 31}{space 2} .8214478{col 42}{space 1}   -1.19{col 51}{space 3}0.236{col 59}{space 4}-2.583546{col 72}{space 3} .6364703
{txt}{space 17} {c |}
{space 2}military_signal#{c |}
{space 4}democpolity_a {c |}
{space 13}1 1  {c |}{col 19}{res}{space 2}  .938634{col 31}{space 2}  .858071{col 42}{space 1}    1.09{col 51}{space 3}0.274{col 59}{space 4}-.7431542{col 72}{space 3} 2.620422
{txt}{space 17} {c |}
{space 2}1.democpolity_b {c |}{col 19}{res}{space 2}  1.20498{col 31}{space 2} .4342177{col 42}{space 1}    2.78{col 51}{space 3}0.006{col 59}{space 4} .3539289{col 72}{space 3} 2.056031
{txt}{space 6}theta2_mean {c |}{col 19}{res}{space 2}-.4150768{col 31}{space 2} .2530242{col 42}{space 1}   -1.64{col 51}{space 3}0.101{col 59}{space 4}-.9109952{col 72}{space 3} .0808417
{txt}{space 4}capshare_a_ks {c |}{col 19}{res}{space 2}-.7048624{col 31}{space 2} .6249176{col 42}{space 1}   -1.13{col 51}{space 3}0.259{col 59}{space 4}-1.929678{col 72}{space 3} .5199536
{txt}{space 6}1.territory {c |}{col 19}{res}{space 2}-.6349382{col 31}{space 2} .3428667{col 42}{space 1}   -1.85{col 51}{space 3}0.064{col 59}{space 4}-1.306945{col 72}{space 3} .0370682
{txt}{space 4}1.reparations {c |}{col 19}{res}{space 2} .1293958{col 31}{space 2} .5145968{col 42}{space 1}    0.25{col 51}{space 3}0.801{col 59}{space 4}-.8791955{col 72}{space 3} 1.137987
{txt}{space 5}1.leadership {c |}{col 19}{res}{space 2}  2.10138{col 31}{space 2} .5725656{col 42}{space 1}    3.67{col 51}{space 3}0.000{col 59}{space 4} .9791719{col 72}{space 3} 3.223588
{txt}{space 9}1.policy {c |}{col 19}{res}{space 2}-.0741508{col 31}{space 2} .3266904{col 42}{space 1}   -0.23{col 51}{space 3}0.820{col 59}{space 4}-.7144522{col 72}{space 3} .5661505
{txt}{space 6}1.contig_ks {c |}{col 19}{res}{space 2} .0314888{col 31}{space 2} .3687848{col 42}{space 1}    0.09{col 51}{space 3}0.932{col 59}{space 4}-.6913162{col 72}{space 3} .7542938
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-1.141531{col 31}{space 2} .8134001{col 42}{space 1}   -1.40{col 51}{space 3}0.160{col 59}{space 4}-2.735766{col 72}{space 3} .4527035
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M9f: logit success_force i.military_signal##democadv i.democpolity_a i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res:-133.66798}  
Iteration 2:{space 3}log pseudolikelihood = {res:-133.37353}  
Iteration 3:{space 3}log pseudolikelihood = {res: -133.3729}  
Iteration 4:{space 3}log pseudolikelihood = {res: -133.3729}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     50.77
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -133.3729{txt}{col 49}Pseudo R2{col 67}= {res}    0.1947

{txt}{ralign 90:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}           success_force{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}1.military_signal {c |}{col 26}{res}{space 2} 2.017154{col 38}{space 2} .6558911{col 49}{space 1}    3.08{col 58}{space 3}0.002{col 66}{space 4}  .731631{col 79}{space 3} 3.302677
{txt}{space 14}1.democadv {c |}{col 26}{res}{space 2}-.4125095{col 38}{space 2} .8562775{col 49}{space 1}   -0.48{col 58}{space 3}0.630{col 66}{space 4}-2.090783{col 79}{space 3} 1.265764
{txt}{space 24} {c |}
military_signal#democadv {c |}
{space 20}1 1  {c |}{col 26}{res}{space 2}     .127{col 38}{space 2} .8567435{col 49}{space 1}    0.15{col 58}{space 3}0.882{col 66}{space 4}-1.552186{col 79}{space 3} 1.806186
{txt}{space 24} {c |}
{space 9}1.democpolity_a {c |}{col 26}{res}{space 2} -.048365{col 38}{space 2} .4987131{col 49}{space 1}   -0.10{col 58}{space 3}0.923{col 66}{space 4}-1.025825{col 79}{space 3} .9290947
{txt}{space 9}1.democpolity_b {c |}{col 26}{res}{space 2} .9879379{col 38}{space 2}  .433911{col 49}{space 1}    2.28{col 58}{space 3}0.023{col 66}{space 4}  .137488{col 79}{space 3} 1.838388
{txt}{space 13}theta2_mean {c |}{col 26}{res}{space 2} -.433222{col 38}{space 2} .2512589{col 49}{space 1}   -1.72{col 58}{space 3}0.085{col 66}{space 4}-.9256803{col 79}{space 3} .0592363
{txt}{space 11}capshare_a_ks {c |}{col 26}{res}{space 2}-.7348902{col 38}{space 2} .5911259{col 49}{space 1}   -1.24{col 58}{space 3}0.214{col 66}{space 4}-1.893476{col 79}{space 3} .4236954
{txt}{space 13}1.territory {c |}{col 26}{res}{space 2}-.6713801{col 38}{space 2} .3503718{col 49}{space 1}   -1.92{col 58}{space 3}0.055{col 66}{space 4}-1.358096{col 79}{space 3}  .015336
{txt}{space 11}1.reparations {c |}{col 26}{res}{space 2} .0269318{col 38}{space 2} .4804619{col 49}{space 1}    0.06{col 58}{space 3}0.955{col 66}{space 4}-.9147561{col 79}{space 3} .9686198
{txt}{space 12}1.leadership {c |}{col 26}{res}{space 2} 2.082166{col 38}{space 2}  .614161{col 49}{space 1}    3.39{col 58}{space 3}0.001{col 66}{space 4} .8784321{col 79}{space 3} 3.285899
{txt}{space 16}1.policy {c |}{col 26}{res}{space 2}-.0261966{col 38}{space 2} .3190794{col 49}{space 1}   -0.08{col 58}{space 3}0.935{col 66}{space 4}-.6515807{col 79}{space 3} .5991876
{txt}{space 13}1.contig_ks {c |}{col 26}{res}{space 2} .0251074{col 38}{space 2} .3684556{col 49}{space 1}    0.07{col 58}{space 3}0.946{col 66}{space 4}-.6970523{col 79}{space 3}  .747267
{txt}{space 19}_cons {c |}{col 26}{res}{space 2}-1.140326{col 38}{space 2} .9299947{col 49}{space 1}   -1.23{col 58}{space 3}0.220{col 66}{space 4}-2.963082{col 79}{space 3} .6824302
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M11f: logit success_force i.military_signal##nonpersonalist_a_tss i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res:-132.30249}  
Iteration 2:{space 3}log pseudolikelihood = {res:-132.03151}  
Iteration 3:{space 3}log pseudolikelihood = {res:-132.03087}  
Iteration 4:{space 3}log pseudolikelihood = {res:-132.03087}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     53.22
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-132.03087{txt}{col 49}Pseudo R2{col 67}= {res}    0.2028

{txt}{ralign 88:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}         success_force{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.military_signal {c |}{col 24}{res}{space 2} 2.718318{col 36}{space 2} .9583481{col 47}{space 1}    2.84{col 56}{space 3}0.005{col 64}{space 4} .8399906{col 77}{space 3} 4.596646
{txt}1.nonpersonalist_a_tss {c |}{col 24}{res}{space 2} 1.385564{col 36}{space 2} 1.063537{col 47}{space 1}    1.30{col 56}{space 3}0.193{col 64}{space 4}-.6989298{col 77}{space 3} 3.470058
{txt}{space 22} {c |}
{space 7}military_signal#{c |}
{space 2}nonpersonalist_a_tss {c |}
{space 18}1 1  {c |}{col 24}{res}{space 2}-.6929304{col 36}{space 2} 1.074539{col 47}{space 1}   -0.64{col 56}{space 3}0.519{col 64}{space 4}-2.798989{col 77}{space 3} 1.413128
{txt}{space 22} {c |}
{space 7}1.democpolity_b {c |}{col 24}{res}{space 2} 1.252491{col 36}{space 2} .4161428{col 47}{space 1}    3.01{col 56}{space 3}0.003{col 64}{space 4}  .436866{col 77}{space 3} 2.068116
{txt}{space 11}theta2_mean {c |}{col 24}{res}{space 2}-.1571438{col 36}{space 2} .2320582{col 47}{space 1}   -0.68{col 56}{space 3}0.498{col 64}{space 4}-.6119695{col 77}{space 3} .2976819
{txt}{space 9}capshare_a_ks {c |}{col 24}{res}{space 2} -.482821{col 36}{space 2} .6386913{col 47}{space 1}   -0.76{col 56}{space 3}0.450{col 64}{space 4}-1.734633{col 77}{space 3} .7689908
{txt}{space 11}1.territory {c |}{col 24}{res}{space 2}-.4760949{col 36}{space 2} .3584784{col 47}{space 1}   -1.33{col 56}{space 3}0.184{col 64}{space 4}  -1.1787{col 77}{space 3} .2265098
{txt}{space 9}1.reparations {c |}{col 24}{res}{space 2} .0417358{col 36}{space 2} .5004362{col 47}{space 1}    0.08{col 56}{space 3}0.934{col 64}{space 4}-.9391012{col 77}{space 3} 1.022573
{txt}{space 10}1.leadership {c |}{col 24}{res}{space 2} 2.439274{col 36}{space 2} .7512758{col 47}{space 1}    3.25{col 56}{space 3}0.001{col 64}{space 4}    .9668{col 77}{space 3} 3.911747
{txt}{space 14}1.policy {c |}{col 24}{res}{space 2} .0816205{col 36}{space 2} .3386835{col 47}{space 1}    0.24{col 56}{space 3}0.810{col 64}{space 4} -.582187{col 77}{space 3}  .745428
{txt}{space 11}1.contig_ks {c |}{col 24}{res}{space 2} .1687592{col 36}{space 2} .3482667{col 47}{space 1}    0.48{col 56}{space 3}0.628{col 64}{space 4}-.5138311{col 77}{space 3} .8513494
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-3.129108{col 36}{space 2} 1.160127{col 47}{space 1}   -2.70{col 56}{space 3}0.007{col 64}{space 4}-5.402916{col 77}{space 3}-.8553004
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M8f: logit success_force i.showofforce##democpolity_a i.mobilization##democpolity_a i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res:-130.59898}  
Iteration 2:{space 3}log pseudolikelihood = {res:-130.19229}  
Iteration 3:{space 3}log pseudolikelihood = {res:-130.19025}  
Iteration 4:{space 3}log pseudolikelihood = {res:-130.19025}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}     54.42
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-130.19025{txt}{col 49}Pseudo R2{col 67}= {res}    0.2139

{txt}{ralign 81:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}  success_force{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.showofforce {c |}{col 17}{res}{space 2} .2493758{col 29}{space 2}  .763036{col 40}{space 1}    0.33{col 49}{space 3}0.744{col 57}{space 4}-1.246147{col 70}{space 3} 1.744899
{txt}1.democpolity_a {c |}{col 17}{res}{space 2}-.9657103{col 29}{space 2} .8204779{col 40}{space 1}   -1.18{col 49}{space 3}0.239{col 57}{space 4}-2.573817{col 70}{space 3} .6423969
{txt}{space 15} {c |}
{space 4}showofforce#{c |}
{space 2}democpolity_a {c |}
{space 11}1 1  {c |}{col 17}{res}{space 2} .9501429{col 29}{space 2} 1.270482{col 40}{space 1}    0.75{col 49}{space 3}0.455{col 57}{space 4}-1.539957{col 70}{space 3} 3.440242
{txt}{space 15} {c |}
{space 1}1.mobilization {c |}{col 17}{res}{space 2} 1.918229{col 29}{space 2} .5069979{col 40}{space 1}    3.78{col 49}{space 3}0.000{col 57}{space 4} .9245314{col 70}{space 3} 2.911927
{txt}{space 15} {c |}
{space 3}mobilization#{c |}
{space 2}democpolity_a {c |}
{space 11}1 1  {c |}{col 17}{res}{space 2} .9232232{col 29}{space 2} .8638675{col 40}{space 1}    1.07{col 49}{space 3}0.285{col 57}{space 4}-.7699259{col 70}{space 3} 2.616372
{txt}{space 15} {c |}
1.democpolity_b {c |}{col 17}{res}{space 2} 1.270836{col 29}{space 2} .4490698{col 40}{space 1}    2.83{col 49}{space 3}0.005{col 57}{space 4} .3906756{col 70}{space 3} 2.150997
{txt}{space 4}theta2_mean {c |}{col 17}{res}{space 2}-.4862569{col 29}{space 2} .2682401{col 40}{space 1}   -1.81{col 49}{space 3}0.070{col 57}{space 4}-1.011998{col 70}{space 3}  .039484
{txt}{space 2}capshare_a_ks {c |}{col 17}{res}{space 2}-.6514345{col 29}{space 2} .6495202{col 40}{space 1}   -1.00{col 49}{space 3}0.316{col 57}{space 4}-1.924471{col 70}{space 3} .6216017
{txt}{space 4}1.territory {c |}{col 17}{res}{space 2}-.6123464{col 29}{space 2} .3623974{col 40}{space 1}   -1.69{col 49}{space 3}0.091{col 57}{space 4}-1.322632{col 70}{space 3} .0979394
{txt}{space 2}1.reparations {c |}{col 17}{res}{space 2} .0308702{col 29}{space 2} .5127293{col 40}{space 1}    0.06{col 49}{space 3}0.952{col 57}{space 4}-.9740608{col 70}{space 3} 1.035801
{txt}{space 3}1.leadership {c |}{col 17}{res}{space 2} 2.169383{col 29}{space 2}  .600425{col 40}{space 1}    3.61{col 49}{space 3}0.000{col 57}{space 4} .9925721{col 70}{space 3} 3.346195
{txt}{space 7}1.policy {c |}{col 17}{res}{space 2}-.0182599{col 29}{space 2} .3260531{col 40}{space 1}   -0.06{col 49}{space 3}0.955{col 57}{space 4}-.6573121{col 70}{space 3} .6207924
{txt}{space 4}1.contig_ks {c |}{col 17}{res}{space 2} .0557894{col 29}{space 2} .3787515{col 40}{space 1}    0.15{col 49}{space 3}0.883{col 57}{space 4}-.6865499{col 70}{space 3} .7981287
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.252271{col 29}{space 2} .8160512{col 40}{space 1}   -1.53{col 49}{space 3}0.125{col 57}{space 4}-2.851702{col 70}{space 3} .3471596
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M10f: logit success_force i.showofforce##democadv i.mobilization##democadv i.democpolity_a i.democpolity_b theta2_mean   c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res:-130.08807}  
Iteration 2:{space 3}log pseudolikelihood = {res:-129.64254}  
Iteration 3:{space 3}log pseudolikelihood = {res:-129.63861}  
Iteration 4:{space 3}log pseudolikelihood = {res: -129.6386}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}     52.49
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -129.6386{txt}{col 49}Pseudo R2{col 67}= {res}    0.2173

{txt}{ralign 87:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}        success_force{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}1.showofforce {c |}{col 23}{res}{space 2} 1.257064{col 35}{space 2} .8346721{col 46}{space 1}    1.51{col 55}{space 3}0.132{col 63}{space 4}-.3788631{col 76}{space 3} 2.892992
{txt}{space 11}1.democadv {c |}{col 23}{res}{space 2}-.3323092{col 35}{space 2} .8811904{col 46}{space 1}   -0.38{col 55}{space 3}0.706{col 63}{space 4}-2.059411{col 76}{space 3} 1.394792
{txt}{space 21} {c |}
{space 1}showofforce#democadv {c |}
{space 17}1 1  {c |}{col 23}{res}{space 2} -1.83679{col 35}{space 2}  1.12039{col 46}{space 1}   -1.64{col 55}{space 3}0.101{col 63}{space 4}-4.032715{col 76}{space 3} .3591341
{txt}{space 21} {c |}
{space 7}1.mobilization {c |}{col 23}{res}{space 2} 2.178491{col 35}{space 2} .6728314{col 46}{space 1}    3.24{col 55}{space 3}0.001{col 63}{space 4} .8597653{col 76}{space 3} 3.497216
{txt}{space 21} {c |}
mobilization#democadv {c |}
{space 17}1 1  {c |}{col 23}{res}{space 2} .1577995{col 35}{space 2} .8758347{col 46}{space 1}    0.18{col 55}{space 3}0.857{col 63}{space 4}-1.558805{col 76}{space 3} 1.874404
{txt}{space 21} {c |}
{space 6}1.democpolity_a {c |}{col 23}{res}{space 2}-.0663334{col 35}{space 2} .5200492{col 46}{space 1}   -0.13{col 55}{space 3}0.899{col 63}{space 4}-1.085611{col 76}{space 3} .9529444
{txt}{space 6}1.democpolity_b {c |}{col 23}{res}{space 2} 1.135839{col 35}{space 2} .4538179{col 46}{space 1}    2.50{col 55}{space 3}0.012{col 63}{space 4} .2463722{col 76}{space 3} 2.025306
{txt}{space 10}theta2_mean {c |}{col 23}{res}{space 2}-.5089209{col 35}{space 2} .2675155{col 46}{space 1}   -1.90{col 55}{space 3}0.057{col 63}{space 4}-1.033242{col 76}{space 3} .0153998
{txt}{space 8}capshare_a_ks {c |}{col 23}{res}{space 2} -.567096{col 35}{space 2} .6193469{col 46}{space 1}   -0.92{col 55}{space 3}0.360{col 63}{space 4}-1.780994{col 76}{space 3} .6468017
{txt}{space 10}1.territory {c |}{col 23}{res}{space 2}-.6454511{col 35}{space 2} .3758957{col 46}{space 1}   -1.72{col 55}{space 3}0.086{col 63}{space 4}-1.382193{col 76}{space 3}  .091291
{txt}{space 8}1.reparations {c |}{col 23}{res}{space 2}-.0545365{col 35}{space 2} .4823959{col 46}{space 1}   -0.11{col 55}{space 3}0.910{col 63}{space 4}-1.000015{col 76}{space 3} .8909421
{txt}{space 9}1.leadership {c |}{col 23}{res}{space 2} 2.176421{col 35}{space 2} .6617567{col 46}{space 1}    3.29{col 55}{space 3}0.001{col 63}{space 4} .8794016{col 76}{space 3}  3.47344
{txt}{space 13}1.policy {c |}{col 23}{res}{space 2} .0018914{col 35}{space 2} .3210968{col 46}{space 1}    0.01{col 55}{space 3}0.995{col 63}{space 4}-.6274468{col 76}{space 3} .6312295
{txt}{space 10}1.contig_ks {c |}{col 23}{res}{space 2} .0810228{col 35}{space 2} .3855188{col 46}{space 1}    0.21{col 55}{space 3}0.834{col 63}{space 4}  -.67458{col 76}{space 3} .8366257
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-1.424209{col 35}{space 2} .9580088{col 46}{space 1}   -1.49{col 55}{space 3}0.137{col 63}{space 4}-3.301872{col 76}{space 3} .4534534
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M12f: logit success_force i.showofforce##nonpersonalist_a_tss i.mobilization##nonpersonalist_a_tss i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res:   -129.07}  
Iteration 2:{space 3}log pseudolikelihood = {res:-128.76059}  
Iteration 3:{space 3}log pseudolikelihood = {res:-128.75992}  
Iteration 4:{space 3}log pseudolikelihood = {res:-128.75992}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}     57.62
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-128.75992{txt}{col 49}Pseudo R2{col 67}= {res}    0.2226

{txt}{ralign 88:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}         success_force{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.showofforce {c |}{col 24}{res}{space 2} 1.909863{col 36}{space 2} 1.221416{col 47}{space 1}    1.56{col 56}{space 3}0.118{col 64}{space 4}-.4840681{col 77}{space 3} 4.303794
{txt}1.nonpersonalist_a_tss {c |}{col 24}{res}{space 2} 1.396748{col 36}{space 2} 1.075895{col 47}{space 1}    1.30{col 56}{space 3}0.194{col 64}{space 4}-.7119666{col 77}{space 3} 3.505462
{txt}{space 22} {c |}
{space 11}showofforce#{c |}
{space 2}nonpersonalist_a_tss {c |}
{space 18}1 1  {c |}{col 24}{res}{space 2}-1.611845{col 36}{space 2} 1.394125{col 47}{space 1}   -1.16{col 56}{space 3}0.248{col 64}{space 4} -4.34428{col 77}{space 3} 1.120589
{txt}{space 22} {c |}
{space 8}1.mobilization {c |}{col 24}{res}{space 2} 2.796095{col 36}{space 2} .9648809{col 47}{space 1}    2.90{col 56}{space 3}0.004{col 64}{space 4} .9049634{col 77}{space 3} 4.687227
{txt}{space 22} {c |}
{space 10}mobilization#{c |}
{space 2}nonpersonalist_a_tss {c |}
{space 18}1 1  {c |}{col 24}{res}{space 2}-.6016735{col 36}{space 2} 1.083428{col 47}{space 1}   -0.56{col 56}{space 3}0.579{col 64}{space 4}-2.725153{col 77}{space 3} 1.521806
{txt}{space 22} {c |}
{space 7}1.democpolity_b {c |}{col 24}{res}{space 2} 1.351662{col 36}{space 2} .4258574{col 47}{space 1}    3.17{col 56}{space 3}0.002{col 64}{space 4} .5169969{col 77}{space 3} 2.186327
{txt}{space 11}theta2_mean {c |}{col 24}{res}{space 2} -.213944{col 36}{space 2} .2457627{col 47}{space 1}   -0.87{col 56}{space 3}0.384{col 64}{space 4}-.6956301{col 77}{space 3} .2677421
{txt}{space 9}capshare_a_ks {c |}{col 24}{res}{space 2}-.4093002{col 36}{space 2} .6660351{col 47}{space 1}   -0.61{col 56}{space 3}0.539{col 64}{space 4}-1.714705{col 77}{space 3} .8961045
{txt}{space 11}1.territory {c |}{col 24}{res}{space 2}-.4258022{col 36}{space 2} .3785008{col 47}{space 1}   -1.12{col 56}{space 3}0.261{col 64}{space 4} -1.16765{col 77}{space 3} .3160457
{txt}{space 9}1.reparations {c |}{col 24}{res}{space 2} -.060406{col 36}{space 2} .5116907{col 47}{space 1}   -0.12{col 56}{space 3}0.906{col 64}{space 4}-1.063301{col 77}{space 3} .9424894
{txt}{space 10}1.leadership {c |}{col 24}{res}{space 2} 2.487559{col 36}{space 2} .8006328{col 47}{space 1}    3.11{col 56}{space 3}0.002{col 64}{space 4} .9183474{col 77}{space 3}  4.05677
{txt}{space 14}1.policy {c |}{col 24}{res}{space 2} .1531955{col 36}{space 2}  .346715{col 47}{space 1}    0.44{col 56}{space 3}0.659{col 64}{space 4}-.5263534{col 77}{space 3} .8327445
{txt}{space 11}1.contig_ks {c |}{col 24}{res}{space 2} .2033065{col 36}{space 2}  .364997{col 47}{space 1}    0.56{col 56}{space 3}0.578{col 64}{space 4}-.5120745{col 77}{space 3} .9186875
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-3.299045{col 36}{space 2} 1.169778{col 47}{space 1}   -2.82{col 56}{space 3}0.005{col 64}{space 4}-5.591769{col 77}{space 3}-1.006322
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. esttab M7f M9f M11f M8f M10f M12f, se(3) pr2 b(3) star(+ 0.10 * 0.05 ** 0.01 *** 0.001)
{res}
{txt}{hline 108}
{txt}                      (1)             (2)             (3)             (4)             (5)             (6)   
{txt}             success_fo~e    success_fo~e    success_fo~e    success_fo~e    success_fo~e    success_fo~e   
{txt}{hline 108}
{res}success_fo~e                                                                                                {txt}
{txt}0.military~l{res}        0.000           0.000           0.000                                                   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}                                                   {txt}

{txt}1.military~l{res}        1.772***        2.017**         2.718**                                                 {txt}
            {res} {ralign 12:{txt:(}0.507{txt:)}}    {ralign 12:{txt:(}0.656{txt:)}}    {ralign 12:{txt:(}0.958{txt:)}}                                                   {txt}

{txt}0.democpol~a{res}        0.000           0.000                           0.000           0.000                   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}1.democpol~a{res}       -0.974          -0.048                          -0.966          -0.066                   {txt}
            {res} {ralign 12:{txt:(}0.821{txt:)}}    {ralign 12:{txt:(}0.499{txt:)}}                    {ralign 12:{txt:(}0.820{txt:)}}    {ralign 12:{txt:(}0.520{txt:)}}                   {txt}

{txt}0.military~a{res}        0.000                                                                                   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}                                                                                   {txt}

{txt}0.military~a{res}        0.000                                                                                   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}                                                                                   {txt}

{txt}1.military~a{res}        0.000                                                                                   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}                                                                                   {txt}

{txt}1.military~a{res}        0.939                                                                                   {txt}
            {res} {ralign 12:{txt:(}0.858{txt:)}}                                                                                   {txt}

{txt}0.democpol~b{res}        0.000           0.000           0.000           0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.democpol~b{res}        1.205**         0.988*          1.252**         1.271**         1.136*          1.352** {txt}
            {res} {ralign 12:{txt:(}0.434{txt:)}}    {ralign 12:{txt:(}0.434{txt:)}}    {ralign 12:{txt:(}0.416{txt:)}}    {ralign 12:{txt:(}0.449{txt:)}}    {ralign 12:{txt:(}0.454{txt:)}}    {ralign 12:{txt:(}0.426{txt:)}}   {txt}

{txt}theta2_mean {res}       -0.415          -0.433+         -0.157          -0.486+         -0.509+         -0.214   {txt}
            {res} {ralign 12:{txt:(}0.253{txt:)}}    {ralign 12:{txt:(}0.251{txt:)}}    {ralign 12:{txt:(}0.232{txt:)}}    {ralign 12:{txt:(}0.268{txt:)}}    {ralign 12:{txt:(}0.268{txt:)}}    {ralign 12:{txt:(}0.246{txt:)}}   {txt}

{txt}capshare_a~s{res}       -0.705          -0.735          -0.483          -0.651          -0.567          -0.409   {txt}
            {res} {ralign 12:{txt:(}0.625{txt:)}}    {ralign 12:{txt:(}0.591{txt:)}}    {ralign 12:{txt:(}0.639{txt:)}}    {ralign 12:{txt:(}0.650{txt:)}}    {ralign 12:{txt:(}0.619{txt:)}}    {ralign 12:{txt:(}0.666{txt:)}}   {txt}

{txt}0.territory {res}        0.000           0.000           0.000           0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.territory {res}       -0.635+         -0.671+         -0.476          -0.612+         -0.645+         -0.426   {txt}
            {res} {ralign 12:{txt:(}0.343{txt:)}}    {ralign 12:{txt:(}0.350{txt:)}}    {ralign 12:{txt:(}0.358{txt:)}}    {ralign 12:{txt:(}0.362{txt:)}}    {ralign 12:{txt:(}0.376{txt:)}}    {ralign 12:{txt:(}0.379{txt:)}}   {txt}

{txt}0.reparati~s{res}        0.000           0.000           0.000           0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.reparati~s{res}        0.129           0.027           0.042           0.031          -0.055          -0.060   {txt}
            {res} {ralign 12:{txt:(}0.515{txt:)}}    {ralign 12:{txt:(}0.480{txt:)}}    {ralign 12:{txt:(}0.500{txt:)}}    {ralign 12:{txt:(}0.513{txt:)}}    {ralign 12:{txt:(}0.482{txt:)}}    {ralign 12:{txt:(}0.512{txt:)}}   {txt}

{txt}0.leadership{res}        0.000           0.000           0.000           0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.leadership{res}        2.101***        2.082***        2.439**         2.169***        2.176**         2.488** {txt}
            {res} {ralign 12:{txt:(}0.573{txt:)}}    {ralign 12:{txt:(}0.614{txt:)}}    {ralign 12:{txt:(}0.751{txt:)}}    {ralign 12:{txt:(}0.600{txt:)}}    {ralign 12:{txt:(}0.662{txt:)}}    {ralign 12:{txt:(}0.801{txt:)}}   {txt}

{txt}0.policy    {res}        0.000           0.000           0.000           0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.policy    {res}       -0.074          -0.026           0.082          -0.018           0.002           0.153   {txt}
            {res} {ralign 12:{txt:(}0.327{txt:)}}    {ralign 12:{txt:(}0.319{txt:)}}    {ralign 12:{txt:(}0.339{txt:)}}    {ralign 12:{txt:(}0.326{txt:)}}    {ralign 12:{txt:(}0.321{txt:)}}    {ralign 12:{txt:(}0.347{txt:)}}   {txt}

{txt}0.contig_ks {res}        0.000           0.000           0.000           0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.contig_ks {res}        0.031           0.025           0.169           0.056           0.081           0.203   {txt}
            {res} {ralign 12:{txt:(}0.369{txt:)}}    {ralign 12:{txt:(}0.368{txt:)}}    {ralign 12:{txt:(}0.348{txt:)}}    {ralign 12:{txt:(}0.379{txt:)}}    {ralign 12:{txt:(}0.386{txt:)}}    {ralign 12:{txt:(}0.365{txt:)}}   {txt}

{txt}0.democadv  {res}                        0.000                                           0.000                   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                                    {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}1.democadv  {res}                       -0.413                                          -0.332                   {txt}
            {res}                 {ralign 12:{txt:(}0.856{txt:)}}                                    {ralign 12:{txt:(}0.881{txt:)}}                   {txt}

{txt}0.military~v{res}                        0.000                                                                   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                                                                   {txt}

{txt}0.military~v{res}                        0.000                                                                   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                                                                   {txt}

{txt}1.military~v{res}                        0.000                                                                   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                                                                   {txt}

{txt}1.military~v{res}                        0.127                                                                   {txt}
            {res}                 {ralign 12:{txt:(}0.857{txt:)}}                                                                   {txt}

{txt}0.nonperso~s{res}                                        0.000                                           0.000   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}                                    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.nonperso~s{res}                                        1.386                                           1.397   {txt}
            {res}                                 {ralign 12:{txt:(}1.064{txt:)}}                                    {ralign 12:{txt:(}1.076{txt:)}}   {txt}

{txt}0.military~t{res}                                        0.000                                                   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}                                                   {txt}

{txt}0.military~t{res}                                        0.000                                                   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}                                                   {txt}

{txt}1.military~t{res}                                        0.000                                                   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}                                                   {txt}

{txt}1.military~t{res}                                       -0.693                                                   {txt}
            {res}                                 {ralign 12:{txt:(}1.075{txt:)}}                                                   {txt}

{txt}0.showoffo~e{res}                                                        0.000           0.000           0.000   {txt}
            {res}                                                 {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.showoffo~e{res}                                                        0.249           1.257           1.910   {txt}
            {res}                                                 {ralign 12:{txt:(}0.763{txt:)}}    {ralign 12:{txt:(}0.835{txt:)}}    {ralign 12:{txt:(}1.221{txt:)}}   {txt}

{txt}0.showoffo~a{res}                                                        0.000                                   {txt}
            {res}                                                 {ralign 12:{txt:(}.{txt:)}}                                   {txt}

{txt}0.showoffo~a{res}                                                        0.000                                   {txt}
            {res}                                                 {ralign 12:{txt:(}.{txt:)}}                                   {txt}

{txt}1.showoffo~a{res}                                                        0.000                                   {txt}
            {res}                                                 {ralign 12:{txt:(}.{txt:)}}                                   {txt}

{txt}1.showoffo~a{res}                                                        0.950                                   {txt}
            {res}                                                 {ralign 12:{txt:(}1.270{txt:)}}                                   {txt}

{txt}0.mobiliza~n{res}                                                        0.000           0.000           0.000   {txt}
            {res}                                                 {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.mobiliza~n{res}                                                        1.918***        2.178**         2.796** {txt}
            {res}                                                 {ralign 12:{txt:(}0.507{txt:)}}    {ralign 12:{txt:(}0.673{txt:)}}    {ralign 12:{txt:(}0.965{txt:)}}   {txt}

{txt}0.mobiliza~a{res}                                                        0.000                                   {txt}
            {res}                                                 {ralign 12:{txt:(}.{txt:)}}                                   {txt}

{txt}0.mobiliza~a{res}                                                        0.000                                   {txt}
            {res}                                                 {ralign 12:{txt:(}.{txt:)}}                                   {txt}

{txt}1.mobiliza~a{res}                                                        0.000                                   {txt}
            {res}                                                 {ralign 12:{txt:(}.{txt:)}}                                   {txt}

{txt}1.mobiliza~a{res}                                                        0.923                                   {txt}
            {res}                                                 {ralign 12:{txt:(}0.864{txt:)}}                                   {txt}

{txt}0.showoffo~v{res}                                                                        0.000                   {txt}
            {res}                                                                 {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}0.showoffo~v{res}                                                                        0.000                   {txt}
            {res}                                                                 {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}1.showoffo~v{res}                                                                        0.000                   {txt}
            {res}                                                                 {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}1.showoffo~v{res}                                                                       -1.837                   {txt}
            {res}                                                                 {ralign 12:{txt:(}1.120{txt:)}}                   {txt}

{txt}0.mobiliza~v{res}                                                                        0.000                   {txt}
            {res}                                                                 {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}0.mobiliza~v{res}                                                                        0.000                   {txt}
            {res}                                                                 {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}1.mobiliza~v{res}                                                                        0.000                   {txt}
            {res}                                                                 {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}1.mobiliza~v{res}                                                                        0.158                   {txt}
            {res}                                                                 {ralign 12:{txt:(}0.876{txt:)}}                   {txt}

{txt}0.showoffo~t{res}                                                                                        0.000   {txt}
            {res}                                                                                 {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}0.showoffo~t{res}                                                                                        0.000   {txt}
            {res}                                                                                 {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.showoffo~t{res}                                                                                        0.000   {txt}
            {res}                                                                                 {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.showoffo~t{res}                                                                                       -1.612   {txt}
            {res}                                                                                 {ralign 12:{txt:(}1.394{txt:)}}   {txt}

{txt}0.mobiliza~_{res}                                                                                        0.000   {txt}
            {res}                                                                                 {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}0.mobiliza~_{res}                                                                                        0.000   {txt}
            {res}                                                                                 {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.mobiliza~_{res}                                                                                        0.000   {txt}
            {res}                                                                                 {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.mobiliza~_{res}                                                                                       -0.602   {txt}
            {res}                                                                                 {ralign 12:{txt:(}1.083{txt:)}}   {txt}

{txt}_cons       {res}       -1.142          -1.140          -3.129**        -1.252          -1.424          -3.299** {txt}
            {res} {ralign 12:{txt:(}0.813{txt:)}}    {ralign 12:{txt:(}0.930{txt:)}}    {ralign 12:{txt:(}1.160{txt:)}}    {ralign 12:{txt:(}0.816{txt:)}}    {ralign 12:{txt:(}0.958{txt:)}}    {ralign 12:{txt:(}1.170{txt:)}}   {txt}
{txt}{hline 108}
{txt}N           {res}          242             242             242             242             242             242   {txt}
{txt}pseudo R-sq {res}        0.196           0.195           0.203           0.214           0.217           0.223   {txt}
{txt}{hline 108}
{txt}Standard errors in parentheses
{txt}+ p<0.10, * p<0.05, ** p<0.01, *** p<0.001

{com}. 
. 
. *Table SI-5
. eststo M1A: logit success i.military_signal theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res:-138.90858}  
Iteration 2:{space 3}log pseudolikelihood = {res:-138.61361}  
Iteration 3:{space 3}log pseudolikelihood = {res:-138.61314}  
Iteration 4:{space 3}log pseudolikelihood = {res:-138.61314}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}     46.77
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-138.61314{txt}{col 49}Pseudo R2{col 67}= {res}    0.1631

{txt}{ralign 83:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}          success{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.military_signal {c |}{col 19}{res}{space 2} 1.877885{col 31}{space 2} .3887836{col 42}{space 1}    4.83{col 51}{space 3}0.000{col 59}{space 4} 1.115883{col 72}{space 3} 2.639887
{txt}{space 6}theta2_mean {c |}{col 19}{res}{space 2}-.3361237{col 31}{space 2} .2016358{col 42}{space 1}   -1.67{col 51}{space 3}0.096{col 59}{space 4}-.7313226{col 72}{space 3} .0590753
{txt}{space 4}capshare_a_ks {c |}{col 19}{res}{space 2}-1.005393{col 31}{space 2} .6229667{col 42}{space 1}   -1.61{col 51}{space 3}0.107{col 59}{space 4}-2.226386{col 72}{space 3} .2155991
{txt}{space 6}1.territory {c |}{col 19}{res}{space 2}-.4705932{col 31}{space 2} .3399676{col 42}{space 1}   -1.38{col 51}{space 3}0.166{col 59}{space 4}-1.136917{col 72}{space 3}  .195731
{txt}{space 4}1.reparations {c |}{col 19}{res}{space 2}  .081439{col 31}{space 2} .5293185{col 42}{space 1}    0.15{col 51}{space 3}0.878{col 59}{space 4}-.9560062{col 72}{space 3} 1.118884
{txt}{space 5}1.leadership {c |}{col 19}{res}{space 2} 2.191295{col 31}{space 2} .5907513{col 42}{space 1}    3.71{col 51}{space 3}0.000{col 59}{space 4} 1.033443{col 72}{space 3} 3.349146
{txt}{space 9}1.policy {c |}{col 19}{res}{space 2} -.016017{col 31}{space 2} .3354859{col 42}{space 1}   -0.05{col 51}{space 3}0.962{col 59}{space 4}-.6735572{col 72}{space 3} .6415232
{txt}{space 6}1.contig_ks {c |}{col 19}{res}{space 2}-.0668817{col 31}{space 2} .3434267{col 42}{space 1}   -0.19{col 51}{space 3}0.846{col 59}{space 4}-.7399857{col 72}{space 3} .6062224
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-.9175825{col 31}{space 2} .5837092{col 42}{space 1}   -1.57{col 51}{space 3}0.116{col 59}{space 4}-2.061631{col 72}{space 3} .2264665
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M2A: logit success i.showofforce i.mobilization theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res:-136.40039}  
Iteration 2:{space 3}log pseudolikelihood = {res:-136.10705}  
Iteration 3:{space 3}log pseudolikelihood = {res:-136.10668}  
Iteration 4:{space 3}log pseudolikelihood = {res:-136.10668}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}9{txt}){col 67}= {res}     48.51
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-136.10668{txt}{col 49}Pseudo R2{col 67}= {res}    0.1782

{txt}{ralign 80:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}       success{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}1.showofforce {c |}{col 16}{res}{space 2} .5810231{col 28}{space 2} .5816588{col 39}{space 1}    1.00{col 48}{space 3}0.318{col 56}{space 4}-.5590073{col 69}{space 3} 1.721053
{txt}1.mobilization {c |}{col 16}{res}{space 2} 1.993382{col 28}{space 2} .3958901{col 39}{space 1}    5.04{col 48}{space 3}0.000{col 56}{space 4} 1.217452{col 69}{space 3} 2.769312
{txt}{space 3}theta2_mean {c |}{col 16}{res}{space 2}-.3920253{col 28}{space 2} .2099079{col 39}{space 1}   -1.87{col 48}{space 3}0.062{col 56}{space 4}-.8034372{col 69}{space 3} .0193866
{txt}{space 1}capshare_a_ks {c |}{col 16}{res}{space 2}-.9817906{col 28}{space 2} .6533952{col 39}{space 1}   -1.50{col 48}{space 3}0.133{col 56}{space 4}-2.262422{col 69}{space 3} .2988405
{txt}{space 3}1.territory {c |}{col 16}{res}{space 2}-.4431574{col 28}{space 2} .3530802{col 39}{space 1}   -1.26{col 48}{space 3}0.209{col 56}{space 4}-1.135182{col 69}{space 3}  .248867
{txt}{space 1}1.reparations {c |}{col 16}{res}{space 2}-.0094047{col 28}{space 2} .5388015{col 39}{space 1}   -0.02{col 48}{space 3}0.986{col 56}{space 4}-1.065436{col 69}{space 3} 1.046627
{txt}{space 2}1.leadership {c |}{col 16}{res}{space 2} 2.260301{col 28}{space 2} .6173812{col 39}{space 1}    3.66{col 48}{space 3}0.000{col 56}{space 4} 1.050256{col 69}{space 3} 3.470346
{txt}{space 6}1.policy {c |}{col 16}{res}{space 2} .0342132{col 28}{space 2} .3372971{col 39}{space 1}    0.10{col 48}{space 3}0.919{col 56}{space 4} -.626877{col 69}{space 3} .6953033
{txt}{space 3}1.contig_ks {c |}{col 16}{res}{space 2} -.054006{col 28}{space 2}  .356912{col 39}{space 1}   -0.15{col 48}{space 3}0.880{col 56}{space 4}-.7535408{col 69}{space 3} .6455287
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-.9741003{col 28}{space 2} .5901115{col 39}{space 1}   -1.65{col 48}{space 3}0.099{col 56}{space 4}-2.130698{col 69}{space 3} .1824971
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M3A: logit success i.military_signal i.democpolity_a i.democpolity_b democadv theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res:-133.64961}  
Iteration 2:{space 3}log pseudolikelihood = {res:-133.38344}  
Iteration 3:{space 3}log pseudolikelihood = {res:-133.38304}  
Iteration 4:{space 3}log pseudolikelihood = {res:-133.38304}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     50.76
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-133.38304{txt}{col 49}Pseudo R2{col 67}= {res}    0.1946

{txt}{ralign 83:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}          success{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.military_signal {c |}{col 19}{res}{space 2} 2.091059{col 31}{space 2} .4342422{col 42}{space 1}    4.82{col 51}{space 3}0.000{col 59}{space 4}  1.23996{col 72}{space 3} 2.942158
{txt}{space 2}1.democpolity_a {c |}{col 19}{res}{space 2}-.0468263{col 31}{space 2}  .497575{col 42}{space 1}   -0.09{col 51}{space 3}0.925{col 59}{space 4}-1.022055{col 72}{space 3} .9284028
{txt}{space 2}1.democpolity_b {c |}{col 19}{res}{space 2} .9848248{col 31}{space 2} .4313476{col 42}{space 1}    2.28{col 51}{space 3}0.022{col 59}{space 4} .1393991{col 72}{space 3} 1.830251
{txt}{space 9}democadv {c |}{col 19}{res}{space 2}-.3020697{col 31}{space 2} .4619558{col 42}{space 1}   -0.65{col 51}{space 3}0.513{col 59}{space 4}-1.207486{col 72}{space 3}  .603347
{txt}{space 6}theta2_mean {c |}{col 19}{res}{space 2}-.4315716{col 31}{space 2}  .250766{col 42}{space 1}   -1.72{col 51}{space 3}0.085{col 59}{space 4}-.9230641{col 72}{space 3} .0599208
{txt}{space 4}capshare_a_ks {c |}{col 19}{res}{space 2} -.732551{col 31}{space 2} .5896938{col 42}{space 1}   -1.24{col 51}{space 3}0.214{col 59}{space 4} -1.88833{col 72}{space 3} .4232277
{txt}{space 6}1.territory {c |}{col 19}{res}{space 2}-.6637868{col 31}{space 2} .3405047{col 42}{space 1}   -1.95{col 51}{space 3}0.051{col 59}{space 4}-1.331164{col 72}{space 3} .0035902
{txt}{space 4}1.reparations {c |}{col 19}{res}{space 2} .0197616{col 31}{space 2} .4770037{col 42}{space 1}    0.04{col 51}{space 3}0.967{col 59}{space 4}-.9151485{col 72}{space 3} .9546717
{txt}{space 5}1.leadership {c |}{col 19}{res}{space 2} 2.102135{col 31}{space 2} .6046924{col 42}{space 1}    3.48{col 51}{space 3}0.001{col 59}{space 4} .9169594{col 72}{space 3}  3.28731
{txt}{space 9}1.policy {c |}{col 19}{res}{space 2}-.0219125{col 31}{space 2} .3180745{col 42}{space 1}   -0.07{col 51}{space 3}0.945{col 59}{space 4}-.6453272{col 72}{space 3} .6015022
{txt}{space 6}1.contig_ks {c |}{col 19}{res}{space 2} .0276938{col 31}{space 2} .3657875{col 42}{space 1}    0.08{col 51}{space 3}0.940{col 59}{space 4}-.6892366{col 72}{space 3} .7446242
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-1.216117{col 31}{space 2} .7418145{col 42}{space 1}   -1.64{col 51}{space 3}0.101{col 59}{space 4}-2.670047{col 72}{space 3} .2378125
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M4A: logit success i.showofforce i.mobilization i.democpolity_a i.democpolity_b democadv theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res: -130.6693}  
Iteration 2:{space 3}log pseudolikelihood = {res:-130.38674}  
Iteration 3:{space 3}log pseudolikelihood = {res:-130.38645}  
Iteration 4:{space 3}log pseudolikelihood = {res:-130.38645}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}12{txt}){col 67}= {res}     55.87
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-130.38645{txt}{col 49}Pseudo R2{col 67}= {res}    0.2127

{txt}{ralign 81:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}        success{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}1.showofforce {c |}{col 17}{res}{space 2} .5636002{col 29}{space 2} .5579526{col 40}{space 1}    1.01{col 49}{space 3}0.312{col 57}{space 4}-.5299668{col 70}{space 3} 1.657167
{txt}{space 1}1.mobilization {c |}{col 17}{res}{space 2} 2.234383{col 29}{space 2} .4417534{col 40}{space 1}    5.06{col 49}{space 3}0.000{col 57}{space 4} 1.368563{col 70}{space 3} 3.100204
{txt}1.democpolity_a {c |}{col 17}{res}{space 2}-.0401886{col 29}{space 2} .5194322{col 40}{space 1}   -0.08{col 49}{space 3}0.938{col 57}{space 4}-1.058257{col 70}{space 3} .9778798
{txt}1.democpolity_b {c |}{col 17}{res}{space 2} 1.042225{col 29}{space 2} .4365174{col 40}{space 1}    2.39{col 49}{space 3}0.017{col 57}{space 4} .1866667{col 70}{space 3} 1.897783
{txt}{space 7}democadv {c |}{col 17}{res}{space 2} -.325328{col 29}{space 2} .4882877{col 40}{space 1}   -0.67{col 49}{space 3}0.505{col 57}{space 4}-1.282354{col 70}{space 3} .6316983
{txt}{space 4}theta2_mean {c |}{col 17}{res}{space 2}-.5059545{col 29}{space 2} .2653829{col 40}{space 1}   -1.91{col 49}{space 3}0.057{col 57}{space 4}-1.026095{col 70}{space 3} .0141864
{txt}{space 2}capshare_a_ks {c |}{col 17}{res}{space 2}-.6852116{col 29}{space 2} .6123164{col 40}{space 1}   -1.12{col 49}{space 3}0.263{col 57}{space 4} -1.88533{col 70}{space 3} .5149064
{txt}{space 4}1.territory {c |}{col 17}{res}{space 2} -.644611{col 29}{space 2} .3600979{col 40}{space 1}   -1.79{col 49}{space 3}0.073{col 57}{space 4} -1.35039{col 70}{space 3} .0611679
{txt}{space 2}1.reparations {c |}{col 17}{res}{space 2}-.0756148{col 29}{space 2}  .480928{col 40}{space 1}   -0.16{col 49}{space 3}0.875{col 57}{space 4}-1.018216{col 70}{space 3} .8669868
{txt}{space 3}1.leadership {c |}{col 17}{res}{space 2} 2.166044{col 29}{space 2}  .630857{col 40}{space 1}    3.43{col 49}{space 3}0.001{col 57}{space 4} .9295866{col 70}{space 3} 3.402501
{txt}{space 7}1.policy {c |}{col 17}{res}{space 2} .0293176{col 29}{space 2} .3209139{col 40}{space 1}    0.09{col 49}{space 3}0.927{col 57}{space 4}-.5996621{col 70}{space 3} .6582974
{txt}{space 4}1.contig_ks {c |}{col 17}{res}{space 2} .0555292{col 29}{space 2} .3780196{col 40}{space 1}    0.15{col 49}{space 3}0.883{col 57}{space 4}-.6853757{col 70}{space 3}  .796434
{txt}{space 10}_cons {c |}{col 17}{res}{space 2}-1.305912{col 29}{space 2} .7443107{col 40}{space 1}   -1.75{col 49}{space 3}0.079{col 57}{space 4}-2.764734{col 70}{space 3} .1529099
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M5A: logit success i.military_signal i.nonpersonalist_a_tss i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res:-132.43258}  
Iteration 2:{space 3}log pseudolikelihood = {res:-132.19133}  
Iteration 3:{space 3}log pseudolikelihood = {res:-132.19106}  
Iteration 4:{space 3}log pseudolikelihood = {res:-132.19106}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}10{txt}){col 67}= {res}     50.68
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-132.19106{txt}{col 49}Pseudo R2{col 67}= {res}    0.2018

{txt}{ralign 88:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}               success{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}1.military_signal {c |}{col 24}{res}{space 2} 2.145532{col 36}{space 2} .4270692{col 47}{space 1}    5.02{col 56}{space 3}0.000{col 64}{space 4} 1.308492{col 77}{space 3} 2.982573
{txt}1.nonpersonalist_a_tss {c |}{col 24}{res}{space 2} .7533901{col 36}{space 2} .4497797{col 47}{space 1}    1.68{col 56}{space 3}0.094{col 64}{space 4}-.1281618{col 77}{space 3} 1.634942
{txt}{space 7}1.democpolity_b {c |}{col 24}{res}{space 2} 1.262419{col 36}{space 2}  .415152{col 47}{space 1}    3.04{col 56}{space 3}0.002{col 64}{space 4} .4487365{col 77}{space 3} 2.076102
{txt}{space 11}theta2_mean {c |}{col 24}{res}{space 2}-.1749905{col 36}{space 2} .2305031{col 47}{space 1}   -0.76{col 56}{space 3}0.448{col 64}{space 4}-.6267682{col 77}{space 3} .2767872
{txt}{space 9}capshare_a_ks {c |}{col 24}{res}{space 2}-.4668629{col 36}{space 2} .6377274{col 47}{space 1}   -0.73{col 56}{space 3}0.464{col 64}{space 4}-1.716786{col 77}{space 3} .7830598
{txt}{space 11}1.territory {c |}{col 24}{res}{space 2}-.5065925{col 36}{space 2} .3481468{col 47}{space 1}   -1.46{col 56}{space 3}0.146{col 64}{space 4}-1.188948{col 77}{space 3} .1757627
{txt}{space 9}1.reparations {c |}{col 24}{res}{space 2} .0487882{col 36}{space 2} .5051168{col 47}{space 1}    0.10{col 56}{space 3}0.923{col 64}{space 4}-.9412225{col 77}{space 3} 1.038799
{txt}{space 10}1.leadership {c |}{col 24}{res}{space 2} 2.340615{col 36}{space 2} .6827912{col 47}{space 1}    3.43{col 56}{space 3}0.001{col 64}{space 4} 1.002368{col 77}{space 3} 3.678861
{txt}{space 14}1.policy {c |}{col 24}{res}{space 2} .0666779{col 36}{space 2} .3367301{col 47}{space 1}    0.20{col 56}{space 3}0.843{col 64}{space 4} -.593301{col 77}{space 3} .7266567
{txt}{space 11}1.contig_ks {c |}{col 24}{res}{space 2} .1847264{col 36}{space 2} .3526248{col 47}{space 1}    0.52{col 56}{space 3}0.600{col 64}{space 4}-.5064054{col 77}{space 3} .8758582
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-2.588305{col 36}{space 2} .8150578{col 47}{space 1}   -3.18{col 56}{space 3}0.001{col 64}{space 4}-4.185789{col 77}{space 3}-.9908208
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo M6A: logit success i.showofforce i.mobilization i.nonpersonalist_a_tss i.democpolity_b theta2_mean c.capshare_a_ks i.territory i.reparations i.leadership i.policy i.contig_ks, robust cluster(dyad)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-165.61971}  
Iteration 1:{space 3}log pseudolikelihood = {res:-129.33409}  
Iteration 2:{space 3}log pseudolikelihood = {res:-129.06518}  
Iteration 3:{space 3}log pseudolikelihood = {res:-129.06495}  
Iteration 4:{space 3}log pseudolikelihood = {res:-129.06495}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}       242
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     53.53
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-129.06495{txt}{col 49}Pseudo R2{col 67}= {res}    0.2207

{txt}{ralign 88:(Std. Err. adjusted for {res:136} clusters in dyad)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}               success{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.showofforce {c |}{col 24}{res}{space 2} .6020578{col 36}{space 2}  .614647{col 47}{space 1}    0.98{col 56}{space 3}0.327{col 64}{space 4}-.6026283{col 77}{space 3} 1.806744
{txt}{space 8}1.mobilization {c |}{col 24}{res}{space 2} 2.294455{col 36}{space 2} .4317417{col 47}{space 1}    5.31{col 56}{space 3}0.000{col 64}{space 4} 1.448256{col 77}{space 3} 3.140653
{txt}1.nonpersonalist_a_tss {c |}{col 24}{res}{space 2} .8059534{col 36}{space 2}  .469737{col 47}{space 1}    1.72{col 56}{space 3}0.086{col 64}{space 4}-.1147142{col 77}{space 3} 1.726621
{txt}{space 7}1.democpolity_b {c |}{col 24}{res}{space 2} 1.337486{col 36}{space 2}  .419522{col 47}{space 1}    3.19{col 56}{space 3}0.001{col 64}{space 4} .5152385{col 77}{space 3} 2.159734
{txt}{space 11}theta2_mean {c |}{col 24}{res}{space 2}-.2291251{col 36}{space 2} .2413543{col 47}{space 1}   -0.95{col 56}{space 3}0.342{col 64}{space 4}-.7021707{col 77}{space 3} .2439205
{txt}{space 9}capshare_a_ks {c |}{col 24}{res}{space 2}-.3952116{col 36}{space 2} .6588538{col 47}{space 1}   -0.60{col 56}{space 3}0.549{col 64}{space 4}-1.686541{col 77}{space 3} .8961181
{txt}{space 11}1.territory {c |}{col 24}{res}{space 2}-.4629673{col 36}{space 2} .3702901{col 47}{space 1}   -1.25{col 56}{space 3}0.211{col 64}{space 4}-1.188723{col 77}{space 3}  .262788
{txt}{space 9}1.reparations {c |}{col 24}{res}{space 2}-.0453143{col 36}{space 2} .5121528{col 47}{space 1}   -0.09{col 56}{space 3}0.929{col 64}{space 4}-1.049115{col 77}{space 3} .9584868
{txt}{space 10}1.leadership {c |}{col 24}{res}{space 2} 2.444887{col 36}{space 2} .7377817{col 47}{space 1}    3.31{col 56}{space 3}0.001{col 64}{space 4}  .998861{col 77}{space 3} 3.890912
{txt}{space 14}1.policy {c |}{col 24}{res}{space 2} .1383071{col 36}{space 2} .3470792{col 47}{space 1}    0.40{col 56}{space 3}0.690{col 64}{space 4}-.5419556{col 77}{space 3} .8185699
{txt}{space 11}1.contig_ks {c |}{col 24}{res}{space 2} .2174558{col 36}{space 2} .3663372{col 47}{space 1}    0.59{col 56}{space 3}0.553{col 64}{space 4} -.500552{col 77}{space 3} .9354635
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-2.784769{col 36}{space 2} .8254251{col 47}{space 1}   -3.37{col 56}{space 3}0.001{col 64}{space 4}-4.402573{col 77}{space 3}-1.166966
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. esttab M1A M2A M3A M4A M5A M6A, se(3) pr2 b(3) star(+ 0.10 * 0.05 ** 0.01 *** 0.001)
{res}
{txt}{hline 108}
{txt}                      (1)             (2)             (3)             (4)             (5)             (6)   
{txt}                  success         success         success         success         success         success   
{txt}{hline 108}
{res}success                                                                                                     {txt}
{txt}0.military~l{res}        0.000                           0.000                           0.000                   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}                   {txt}

{txt}1.military~l{res}        1.878***                        2.091***                        2.146***                {txt}
            {res} {ralign 12:{txt:(}0.389{txt:)}}                    {ralign 12:{txt:(}0.434{txt:)}}                    {ralign 12:{txt:(}0.427{txt:)}}                   {txt}

{txt}theta2_mean {res}       -0.336+         -0.392+         -0.432+         -0.506+         -0.175          -0.229   {txt}
            {res} {ralign 12:{txt:(}0.202{txt:)}}    {ralign 12:{txt:(}0.210{txt:)}}    {ralign 12:{txt:(}0.251{txt:)}}    {ralign 12:{txt:(}0.265{txt:)}}    {ralign 12:{txt:(}0.231{txt:)}}    {ralign 12:{txt:(}0.241{txt:)}}   {txt}

{txt}capshare_a~s{res}       -1.005          -0.982          -0.733          -0.685          -0.467          -0.395   {txt}
            {res} {ralign 12:{txt:(}0.623{txt:)}}    {ralign 12:{txt:(}0.653{txt:)}}    {ralign 12:{txt:(}0.590{txt:)}}    {ralign 12:{txt:(}0.612{txt:)}}    {ralign 12:{txt:(}0.638{txt:)}}    {ralign 12:{txt:(}0.659{txt:)}}   {txt}

{txt}0.territory {res}        0.000           0.000           0.000           0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.territory {res}       -0.471          -0.443          -0.664+         -0.645+         -0.507          -0.463   {txt}
            {res} {ralign 12:{txt:(}0.340{txt:)}}    {ralign 12:{txt:(}0.353{txt:)}}    {ralign 12:{txt:(}0.341{txt:)}}    {ralign 12:{txt:(}0.360{txt:)}}    {ralign 12:{txt:(}0.348{txt:)}}    {ralign 12:{txt:(}0.370{txt:)}}   {txt}

{txt}0.reparati~s{res}        0.000           0.000           0.000           0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.reparati~s{res}        0.081          -0.009           0.020          -0.076           0.049          -0.045   {txt}
            {res} {ralign 12:{txt:(}0.529{txt:)}}    {ralign 12:{txt:(}0.539{txt:)}}    {ralign 12:{txt:(}0.477{txt:)}}    {ralign 12:{txt:(}0.481{txt:)}}    {ralign 12:{txt:(}0.505{txt:)}}    {ralign 12:{txt:(}0.512{txt:)}}   {txt}

{txt}0.leadership{res}        0.000           0.000           0.000           0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.leadership{res}        2.191***        2.260***        2.102***        2.166***        2.341***        2.445***{txt}
            {res} {ralign 12:{txt:(}0.591{txt:)}}    {ralign 12:{txt:(}0.617{txt:)}}    {ralign 12:{txt:(}0.605{txt:)}}    {ralign 12:{txt:(}0.631{txt:)}}    {ralign 12:{txt:(}0.683{txt:)}}    {ralign 12:{txt:(}0.738{txt:)}}   {txt}

{txt}0.policy    {res}        0.000           0.000           0.000           0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.policy    {res}       -0.016           0.034          -0.022           0.029           0.067           0.138   {txt}
            {res} {ralign 12:{txt:(}0.335{txt:)}}    {ralign 12:{txt:(}0.337{txt:)}}    {ralign 12:{txt:(}0.318{txt:)}}    {ralign 12:{txt:(}0.321{txt:)}}    {ralign 12:{txt:(}0.337{txt:)}}    {ralign 12:{txt:(}0.347{txt:)}}   {txt}

{txt}0.contig_ks {res}        0.000           0.000           0.000           0.000           0.000           0.000   {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.contig_ks {res}       -0.067          -0.054           0.028           0.056           0.185           0.217   {txt}
            {res} {ralign 12:{txt:(}0.343{txt:)}}    {ralign 12:{txt:(}0.357{txt:)}}    {ralign 12:{txt:(}0.366{txt:)}}    {ralign 12:{txt:(}0.378{txt:)}}    {ralign 12:{txt:(}0.353{txt:)}}    {ralign 12:{txt:(}0.366{txt:)}}   {txt}

{txt}0.showoffo~e{res}                        0.000                           0.000                           0.000   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.showoffo~e{res}                        0.581                           0.564                           0.602   {txt}
            {res}                 {ralign 12:{txt:(}0.582{txt:)}}                    {ralign 12:{txt:(}0.558{txt:)}}                    {ralign 12:{txt:(}0.615{txt:)}}   {txt}

{txt}0.mobiliza~n{res}                        0.000                           0.000                           0.000   {txt}
            {res}                 {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}                    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.mobiliza~n{res}                        1.993***                        2.234***                        2.294***{txt}
            {res}                 {ralign 12:{txt:(}0.396{txt:)}}                    {ralign 12:{txt:(}0.442{txt:)}}                    {ralign 12:{txt:(}0.432{txt:)}}   {txt}

{txt}0.democpol~a{res}                                        0.000           0.000                                   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}                                   {txt}

{txt}1.democpol~a{res}                                       -0.047          -0.040                                   {txt}
            {res}                                 {ralign 12:{txt:(}0.498{txt:)}}    {ralign 12:{txt:(}0.519{txt:)}}                                   {txt}

{txt}0.democpol~b{res}                                        0.000           0.000           0.000           0.000   {txt}
            {res}                                 {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.democpol~b{res}                                        0.985*          1.042*          1.262**         1.337** {txt}
            {res}                                 {ralign 12:{txt:(}0.431{txt:)}}    {ralign 12:{txt:(}0.437{txt:)}}    {ralign 12:{txt:(}0.415{txt:)}}    {ralign 12:{txt:(}0.420{txt:)}}   {txt}

{txt}democadv    {res}                                       -0.302          -0.325                                   {txt}
            {res}                                 {ralign 12:{txt:(}0.462{txt:)}}    {ralign 12:{txt:(}0.488{txt:)}}                                   {txt}

{txt}0.nonperso~s{res}                                                                        0.000           0.000   {txt}
            {res}                                                                 {ralign 12:{txt:(}.{txt:)}}    {ralign 12:{txt:(}.{txt:)}}   {txt}

{txt}1.nonperso~s{res}                                                                        0.753+          0.806+  {txt}
            {res}                                                                 {ralign 12:{txt:(}0.450{txt:)}}    {ralign 12:{txt:(}0.470{txt:)}}   {txt}

{txt}_cons       {res}       -0.918          -0.974+         -1.216          -1.306+         -2.588**        -2.785***{txt}
            {res} {ralign 12:{txt:(}0.584{txt:)}}    {ralign 12:{txt:(}0.590{txt:)}}    {ralign 12:{txt:(}0.742{txt:)}}    {ralign 12:{txt:(}0.744{txt:)}}    {ralign 12:{txt:(}0.815{txt:)}}    {ralign 12:{txt:(}0.825{txt:)}}   {txt}
{txt}{hline 108}
{txt}N           {res}          242             242             242             242             242             242   {txt}
{txt}pseudo R-sq {res}        0.163           0.178           0.195           0.213           0.202           0.221   {txt}
{txt}{hline 108}
{txt}Standard errors in parentheses
{txt}+ p<0.10, * p<0.05, ** p<0.01, *** p<0.001

{com}. 
. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/abigailpost/Dropbox/Dropbox_UVA/Hand-Tying and Muscle-Flexing/ISQ Final materials/Post-Sechser-ISQ2023.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 7 Dec 2023, 12:00:55
{txt}{.-}
{smcl}
{txt}{sf}{ul off}